Environmental Chemistry Compound Identification Using High Resolution Mass Spectrometry Data Integrated to the EPA Chemistry Dashboard
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There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.
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The iCSS CompTox Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. We will also discuss progress towards a high-throughput non-targeted analysis platform for use by the mass spectrometry community. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new publicly-accessible CompTox Dashboard as the first application built on our newly developed architecture. This abstract does not reflect U.S. EPA policy. Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The construction of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago. Specific examples of quality issues for the EPISuite data include multiple records for the same chemical structure with different measured property values, inconsistency between the structure, chemical name and CAS registry number for single records, the inability to convert the SMILES strings into chemical structures, hypervalency in the chemical structures and the absence of stereochemistry for thousands of data records. Relative to the era of EPISuite development, modern cheminformatics tools allow for more advanced capabilities in terms of chemical structure representation and storage, as well as enabling automated data validation and standardization approaches to examine data quality. This presentation will review both our manual and automated approaches to examining key datasets related to the EPISuite training and test data. This includes approaches to validate between chemical structure representations (e.g. molfile and SMILES) and identifiers (chemical names and registry numbers), as well as approaches to standardize the data into QSAR-consumable formats for modeling. We have quantified and segregated the data into various quality categories to allow us to thoroughly investigate the resulting models that can be developed from these data slices and to examine to what extent efforts into the development of large high-quality datasets have the expected pay-off in terms of prediction performance. This abstract does not reflect U.S. EPA policy. The influence of data curation on QSAR Modeling – examining issues of qualit...
The influence of data curation on QSAR Modeling – examining issues of qualit...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. In order to examine its performance for structure identification, especially in terms of rank-ordering database hits, we have compared it with the ChemSpider database, a well-regarded public database that has become one of the community standards for structure identification. The study has shown that the CompTox Dashboard outperforms ChemSpider in terms of structure identification and ranking providing improved outcomes for mass spectrometry analysis of “known unknowns”. Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
As part of our efforts to develop a public platform to provide access to predictive models we have attempted to disentangle the influence of the quality versus quantity of data available to develop and validate QSAR models. Using a thorough manual review of the data underlying the well-known EPI Suite software, we developed automated processes for the validation of the data using a KNIME workflow. This includes: approaches to validate different chemical structure representations (e.g. molfile and SMILES), identifiers (chemical names and registry numbers), and methods to standardize the data into QSAR-consumable formats for modeling. Our efforts to quantify and segregate data into various quality categories has allowed us to thoroughly investigate the resulting models developed from these data slices, as well as allowing us to examine whether or not efforts into the development of large high-quality datasets has the expected pay-off in terms of prediction performance. Machine-learning approaches have been applied to create a series of models that have been used to generate predicted physicochemical and environmental parameters for over 700,000 chemicals. These data are available online via the EPA’s iCSS Chemistry Dashboard. This abstract does not reflect U.S. EPA policy.The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...
The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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The iCSS CompTox Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. This poster reviews the benefits of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. Standard approaches for both mass and formula lookup are available but the dashboard delivers a novel approach for hit ranking based on functional use of the chemicals. The focus on high-quality data, novel ranking approaches and integration to other resources of value to mass spectrometrists makes the CompTox Dashboard a valuable resource for the identification of environmental chemicals. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. We will also discuss progress towards a high-throughput non-targeted analysis platform for use by the mass spectrometry community. This abstract does not reflect U.S. EPA policy.Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new publicly-accessible CompTox Dashboard as the first application built on our newly developed architecture. This abstract does not reflect U.S. EPA policy. Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The construction of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago. Specific examples of quality issues for the EPISuite data include multiple records for the same chemical structure with different measured property values, inconsistency between the structure, chemical name and CAS registry number for single records, the inability to convert the SMILES strings into chemical structures, hypervalency in the chemical structures and the absence of stereochemistry for thousands of data records. Relative to the era of EPISuite development, modern cheminformatics tools allow for more advanced capabilities in terms of chemical structure representation and storage, as well as enabling automated data validation and standardization approaches to examine data quality. This presentation will review both our manual and automated approaches to examining key datasets related to the EPISuite training and test data. This includes approaches to validate between chemical structure representations (e.g. molfile and SMILES) and identifiers (chemical names and registry numbers), as well as approaches to standardize the data into QSAR-consumable formats for modeling. We have quantified and segregated the data into various quality categories to allow us to thoroughly investigate the resulting models that can be developed from these data slices and to examine to what extent efforts into the development of large high-quality datasets have the expected pay-off in terms of prediction performance. This abstract does not reflect U.S. EPA policy. The influence of data curation on QSAR Modeling – examining issues of qualit...
The influence of data curation on QSAR Modeling – examining issues of qualit...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. In order to examine its performance for structure identification, especially in terms of rank-ordering database hits, we have compared it with the ChemSpider database, a well-regarded public database that has become one of the community standards for structure identification. The study has shown that the CompTox Dashboard outperforms ChemSpider in terms of structure identification and ranking providing improved outcomes for mass spectrometry analysis of “known unknowns”. Structure Identification Using High Resolution Mass Spectrometry Data and the...
Structure Identification Using High Resolution Mass Spectrometry Data and the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
As part of our efforts to develop a public platform to provide access to predictive models we have attempted to disentangle the influence of the quality versus quantity of data available to develop and validate QSAR models. Using a thorough manual review of the data underlying the well-known EPI Suite software, we developed automated processes for the validation of the data using a KNIME workflow. This includes: approaches to validate different chemical structure representations (e.g. molfile and SMILES), identifiers (chemical names and registry numbers), and methods to standardize the data into QSAR-consumable formats for modeling. Our efforts to quantify and segregate data into various quality categories has allowed us to thoroughly investigate the resulting models developed from these data slices, as well as allowing us to examine whether or not efforts into the development of large high-quality datasets has the expected pay-off in terms of prediction performance. Machine-learning approaches have been applied to create a series of models that have been used to generate predicted physicochemical and environmental parameters for over 700,000 chemicals. These data are available online via the EPA’s iCSS Chemistry Dashboard. This abstract does not reflect U.S. EPA policy.The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...
The EPA Online Prediction Physicochemical Prediction Platform to Support Envi...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.Delivering The Benefits of Chemical-Biological Integration in Computational T...
Delivering The Benefits of Chemical-Biological Integration in Computational T...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices. However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. The US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov) to address challenges related to data processing and analysis in HRMS. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will introduce the tools and combined workflow, including visualization and access via the CompTox Chemicals Dashboard. These tools, data, and visualization approaches within an open chemistry resource provides a publicly available software tool to support structure identification and non-targeted analyses. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Chemical identification of unknowns in high resolution mass spectrometry usin...
Chemical identification of unknowns in high resolution mass spectrometry usin...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was a webinar update to the Open PHACTS community regarding the release of the OPen PHACTS open source components of the Chemical Registration System and, more specifically, the Chemical validation and Standardization Platform. The need for a community set of rules was driven home with the Chemical validation and Standardization Platform potentially being an example platform for the rules. Open PHACTS Chemistry Platform Update and Learnings
Open PHACTS Chemistry Platform Update and Learnings US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, retention time prediction tools, and a variety of other data to arrive at tentative, probable, and confirmed, if possible, identifications. With the diverse, robust data contained within the US EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov), the goal of this research is to identify and implement a harmonized identification tool and workflow using previously generated chemistry data. Data has been compiled from product use, functional use prediction models, environmental media occurrence prediction models, and PubMed references, among other sources. We will report on our development of a visualization tool whereby users can visualize the relative contribution of identification-based metrics on a list of candidate structures and observe the greatest likelihood of occurrence. These data and visualization tools support NTA identification via the Dashboard and demonstrate an open, accessible tool for all users of HRMS data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are being made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for almost 760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectroscopy non-targeted screening community, who are generating important data for detecting and assessing environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interests to relevant stakeholders including, for example, scientists interested in algal toxins and hydraulic fracturing chemicals. This presentation will provide an overview of the challenges associated with the curation of data from EPA’s December 2016 Hydraulic Fracturing Drinking Water Assessment Report that represented chemicals reported to be used in hydraulic fracturing fluids and those found in produced water. The data have been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and open literature. The application of the dashboard to support mass spectrometry non-targeted analysis studies will also be reviewed. This abstract does not reflect U.S. EPA policy.Accessing information for chemicals in hydraulic fracturing fluids using the ...
Accessing information for chemicals in hydraulic fracturing fluids using the ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The development of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago and, specifically, on the PHYSPROP dataset used to train the EPISuite prediction models. This presentation will review our approaches to examining key datasets, the delivery of curated data and the development of machine-learning models for thirteen separate property endpoints of interest to environmental science. We will also review how these data will be made freely accessible to the community via a new “chemistry dashboard”. This abstract does not reflect U.S. EPA policyAn examination of data quality on QSAR Modeling in regards to the environment...
An examination of data quality on QSAR Modeling in regards to the environment...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new CompTox Chemistry Dashboard and the developing architecture to support real-time property and toxicity endpoint prediction. This abstract does not reflect U.S. EPA policy.New developments in delivering public access to data from the National Center...
New developments in delivering public access to data from the National Center...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models. The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemistry Dashboard, an open chemistry resource and web application containing data for ~760,000 substances. Rank-ordering the number of sources associated with chemical records within the Dashboard (Data Source Ranking) improves the identification of unknowns by bringing the most likely candidate structures to the top of a search results list. Database searching has been further optimized with the generation of MS-Ready Structures. MS-Ready structures are de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses was designed and released to improve searching efforts. Finally, a scoring-based identification scheme was developed, optimized, and surfaced via the Dashboard using multiple data streams contained within the database underlying the Dashboard. The scoring-based identification scheme improved the identification of unknowns over previous efforts using data source ranking alone. Combining these steps within an open chemistry resource provides a freely available software tool for structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various data streams on ~760,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, consumer product and functional use information and a myriad of related data of value to environmental scientists and toxicologists. At this stage of development, the public dashboard provides access to almost 20 predicted physicochemical and environmental fate and transport endpoints with full transparency in terms of model performance. Experimental and predicted human and ecological toxicity data are also available, as are in vitro to in vivo extrapolation dosimetry predictions and predicted exposure and functional use. In parallel to the CompTox Chemistry Dashboard we are developing RapidTox, a web-based application that enables a rapid, flexible and transparent prioritization process for sets of chemicals using several previously used workflows focused on scoring of traditional risk metrics and the inclusion of alternative hazard and exposure estimates. This presentation will give an overview of the CompTox Chemistry Dashboard, RapidTox, our approaches to building transparent and open prediction models, and our efforts to provide access to real time predictions. This abstract does not necessarily represent U.S. EPA policy.US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are utilized to identify emerging contaminants and chemical signatures of interest detected in various media. At the US Environmental Protection Agency the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is an open chemistry resource and web-based application containing data for ~900,000 substances and supports non-targeted and suspect screening analyses. Searching functionality includes identifier searches (e.g. systematic names, trade names and CAS Registry Numbers), mass and formula-based searches and prototype developments include combined substructure-mass/formula searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the database uses “MS-Ready” structures, a way to process all registered substances to separate multi-component chemicals into their individual components, removal of stereochemical bonds and desalting and neutralization. This MS-Ready processing supports batch-searching using either mass or formulae to identify candidate chemicals and their mapped substances. A number of chemical lists (https://comptox.epa.gov/dashboard/chemical_lists) have also been developed to support the identification of chemicals related to agrochemistry, specifically pesticides (both active and inert constituents), insecticides and their metabolites and environmental breakdown products). This presentation will provide an overview of how the CompTox Chemicals Dashboard supports mass spectrometry based structure identification and non-targeted analysis of chemicals in agrochemistry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Multiple regulatory bodies (EPA, ECHA, Health Canada) are currently tasked with prioritizing chemicals for data collection and risk assessments. These prioritization efforts are in response to regulatory mandates to identify chemicals for further assessment. We have developed a web-based application that enables a rapid, flexible and transparent prioritization process. The tool includes multiple data streams related to human and ecological hazard, exposure, and physicochemical properties (persistence and bioaccumulation). For human hazard, the data streams include quantitative points of departure (PODs) that are compiled from multiple sources such as EPA ToxRefDB, ECHA, COSMOS; estimated PODs from high-throughput in vitro screening assays and computational models; and qualitative measurements and predictions of specific endpoints (e.g., genotoxicity, endocrine activity). For ecological hazard, quantitative PODs are taken from the EPA ECOTOX database. Exposure information includes production volume, quantitative predictions using the EPA ExpoCast and SHEDS models, biomonitoring data, and qualitative information such as media occurrence, use profiles and likelihood of consumer and childhood exposures. The use of the tool is illustrated by prioritizing chemicals related to TSCA and the Safer Choice Ingredient List. The underpinning data streams for this application are already available in the EPA CompTox Chemistry Dashboard and have been repurposed to deliver this application. This is in keeping with our overarching software development methodology of providing multiple “building blocks” in the form of databases, web services and visualization components to deliver fit-for purpose applications to the relevant audiences. This abstract does not necessarily represent U.S. EPA policy.Development of a Tool for Systematic Integration of Traditional and New Appro...
Development of a Tool for Systematic Integration of Traditional and New Appro...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The CompTox Chemicals Dashboard is an open chemistry resource and web-based application containing data for ~900,000 substances. While it pales in comparison to other online resources containing many tens of millions of chemical substances it represents two decades of effort to aggregate and curate chemical data to deliver access to physicochemical properties and environmental fate and transport data, in vitro and in vivo toxicity data and consumer product data for over 500,000 products. Associated with the chemical substance collections are specific lists based on chemical classes (e.g. polychlorinated biphenyls (PCBs)), usage categories (e.g. flame retardants, pesticides), specific environmental classes of interest (e.g. disinfectant by-products) and regulatory lists (e.g. TSCA, Toxics release inventory data). The underlying database expands daily as a result of the efforts of curators who continue to harvest data from peer-reviewed publications, regulatory documents and relevant online databases. The cheminformatics architecture allows for mapping between parent chemicals and related substances including metabolites and environmental degradants. The dashboard has become a valuable resource in the identification of chemical substances in the environment.
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. Our research using HRMS for non-targeted and suspect screening analyses utilizes Advanced Search capabilities including mass and formula-based searches. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. These MS-Ready structures have been used as an input set for computational MS-fragmentation to provide a database against which to search experimental data for spectral matching. This presentation will provide an overview of how CompTox Chemicals Dashboard, the underlying data, and how it supports structure identification and non-targeted analysis in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era.
This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
The needs for chemistry standards, database tools and data curation at the ch...
The needs for chemistry standards, database tools and data curation at the ch...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is a freely available web-based application providing access to data for ~900,000 chemical substances, the majority of these represented as chemical structures. The Dashboard also provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders and, in particular, a list of hundreds of disinfection by-product (DBP) chemicals reported in the literature and detected in the laboratory using mass spectrometric techniques. Many of these chemicals are explicit chemical structures whose structures have been confirmed using purchased or synthesized reference standards. However, some of these chemicals may be ambiguous in nature with no explicit positional isomers being possible to define but the formula and mass spec fragmentation sufficient to define a class of chemicals (e.g. dichlorophenol). Such chemicals may be represented with ambiguous chemical structure forms, so-called Markush structures, and mapped to the individual class members. Chemicals accessible via the Dashboard can include access to a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, product use information extracted from safety data sheets, and integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. Since DBP chemicals are primarily identified using mass spectrometric techniques specific search types have been developed to directly support the non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. This presentation will provide an overview of the Dashboard, the ongoing expansion of the DBP chemical list and specific functionality supporting identification of DBPs by mass spectrometry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to data for >600 disinfection by-products via the EPA CompTo...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-2-aug-18-2021/New Approach Methods - What is That?
New Approach Methods - What is That?US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-1-july-14-2021/How to place your research questions or results into the context of the "Lega...
How to place your research questions or results into the context of the "Lega...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases within the DSSTox project, and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are made available via the EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~880,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectrometry non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. The application provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders, including, for example, scientists interested in Per- & Polyfluoroalkyl Substances (PFAS). Added lists include those sourced from the European Union as well as developed in-house and now containing thousands of chemicals. A procured testing library of hundreds of PFAS chemicals annotated into chemical categories has been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and links to the open literature. This presentation will provide an overview of the dashboard, the developing library of PFAS chemicals and associated categorization, and new physicochemical property and environmental fate and transport QSAR prediction models developed for these chemicals. The application of the dashboard to support mass spectrometry non-targeted analysis studies for the identification of PFAS chemicals will also be reviewed. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data for over 4000 chemicals and ~1500 assays, and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include an interactive read-across module, real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA Chemicals Dashboard – an integrated data hub for environmental science
US-EPA Chemicals Dashboard – an integrated data hub for environmental scienceUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The increasing popularity of high mass accuracy non-target mass spectrometry methods has yielded extensive identification efforts based on chemical compound databases. Candidate structures are often retrieved with either exact mass or molecular formula from large resources such as PubChem, ChemSpider or the EPA CompTox Chemistry Dashboard. Additional data (e.g. fragmentation, physicochemical properties, reference and data source information) is then used to select potential candidates, depending on the experimental context. However, these strategies require the presence of substances of interest in these compound databases, which is often not the case as no database can be fully inclusive. A prominent example with clear data gaps are surfactants, used in many products in our daily lives, yet often absent as discrete structures in compound databases. Linear alkylbenzene sulfonates (LAS) are a common, high use and high priority surfactant class that have highly complex transformation behaviour in wastewater. Despite extensive reports in the environmental literature, few of the LAS and none of the related transformation products were reported in any compound databases during an investigation into Swiss wastewater effluents, despite these forming the most intense signals. The LAS surfactant class will be used to demonstrate how the coupling of environmental observations with high resolution mass spectrometry and detailed literature data (expert knowledge) on the transformation of these species can be used to progressively “fill the gaps” in compound databases. The LAS and their transformation products have been added to the CompTox Chemistry Dashboard (https://comptox.epa.gov/) using a combination of “representative structures” and “related structures” starting from the structural information contained in the literature. By adding this information into a centralized open resource, future environmental investigations can now profit from the expert knowledge previously scattered throughout the literature. Note: This abstract does not reflect US EPA policy.Adding complex expert knowledge into chemical database and transforming surfa...
Adding complex expert knowledge into chemical database and transforming surfa...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted analysis (NTA) uses high-resolution mass spectrometry to better understand the identity of a wide variety of chemicals present in environmental samples (and other matrices). However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Analysis of the resultant mass spectrometry information relies on cheminformatics to identify and rank chemicals and the US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) to address challenges related to this analysis. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will review how the CompTox Chemicals Dashboard via its flexible search capabilities, rich data for ~900,000 chemical substances, and visualization approaches within this open chemistry resource provides a freely available software tool to support structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Many of us nowadays invest significant amounts of time in sharing our activities and opinions with friends and family via social networking tools such as Facebook, Twitter or other related websites. However, despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our careers. We are already being indexed and exposed on the internet via our publications, presentations and data and new “AltMetric scores” are being assigned to scientific publications as measures of popularity and, supposedly, of impact. We now have even more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation provides an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. It will discuss the new world of AltMetrics that is in an explosive growth curve and will help you understand how to influence and leverage some of these new measures. Participating online, whether it be simply for career advancement or for wider exposure of your research, there are now a series of web applications that can provide a great opportunity to develop a scientific profile within the community.Building an Online Profile Using Social Networking and Amplification Tools fo...
Building an Online Profile Using Social Networking and Amplification Tools fo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data but recent developments have focused on the development of a new software architecture that assembles the resources into a single platform. A new web application, the CompTox Chemistry Dashboard provides access to data associated with ~720,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, product and functional use information and a myriad of related data of value to environmental scientists.
The dashboard provides chemical-based searching based on chemical names, synonyms and CAS Registry Numbers. Flexible search capabilities allow for chemical identification based on non-targeted analysis studies using mass spectrometry. Chemical identification using both mass and formula-based searching utilizes rank-ordering of results via functional use statistics, thereby providing a solution to help prioritize chemicals for further review when detected in environmental media.
This presentation will provide an overview of the CompTox Dashboard, its capabilities for delivering data to the environmental toxicology community and how the architecture provides a foundation for the development of additional applications to support chemical risk assessment. This abstract does not reflect U.S. EPA policy.
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices. However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. The US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov) to address challenges related to data processing and analysis in HRMS. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will introduce the tools and combined workflow, including visualization and access via the CompTox Chemicals Dashboard. These tools, data, and visualization approaches within an open chemistry resource provides a publicly available software tool to support structure identification and non-targeted analyses. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Chemical identification of unknowns in high resolution mass spectrometry usin...
Chemical identification of unknowns in high resolution mass spectrometry usin...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was a webinar update to the Open PHACTS community regarding the release of the OPen PHACTS open source components of the Chemical Registration System and, more specifically, the Chemical validation and Standardization Platform. The need for a community set of rules was driven home with the Chemical validation and Standardization Platform potentially being an example platform for the rules. Open PHACTS Chemistry Platform Update and Learnings
Open PHACTS Chemistry Platform Update and Learnings US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, retention time prediction tools, and a variety of other data to arrive at tentative, probable, and confirmed, if possible, identifications. With the diverse, robust data contained within the US EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov), the goal of this research is to identify and implement a harmonized identification tool and workflow using previously generated chemistry data. Data has been compiled from product use, functional use prediction models, environmental media occurrence prediction models, and PubMed references, among other sources. We will report on our development of a visualization tool whereby users can visualize the relative contribution of identification-based metrics on a list of candidate structures and observe the greatest likelihood of occurrence. These data and visualization tools support NTA identification via the Dashboard and demonstrate an open, accessible tool for all users of HRMS data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are being made available via the EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for almost 760,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectroscopy non-targeted screening community, who are generating important data for detecting and assessing environmental exposures to chemicals contained within DSSTox. The application provides access to segregated lists of chemicals that are of specific interests to relevant stakeholders including, for example, scientists interested in algal toxins and hydraulic fracturing chemicals. This presentation will provide an overview of the challenges associated with the curation of data from EPA’s December 2016 Hydraulic Fracturing Drinking Water Assessment Report that represented chemicals reported to be used in hydraulic fracturing fluids and those found in produced water. The data have been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and open literature. The application of the dashboard to support mass spectrometry non-targeted analysis studies will also be reviewed. This abstract does not reflect U.S. EPA policy.Accessing information for chemicals in hydraulic fracturing fluids using the ...
Accessing information for chemicals in hydraulic fracturing fluids using the ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The development of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago and, specifically, on the PHYSPROP dataset used to train the EPISuite prediction models. This presentation will review our approaches to examining key datasets, the delivery of curated data and the development of machine-learning models for thirteen separate property endpoints of interest to environmental science. We will also review how these data will be made freely accessible to the community via a new “chemistry dashboard”. This abstract does not reflect U.S. EPA policyAn examination of data quality on QSAR Modeling in regards to the environment...
An examination of data quality on QSAR Modeling in regards to the environment...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Researchers at EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The goal of this research program is to quickly evaluate thousands of chemicals, but at a much reduced cost and shorter time frame relative to traditional approaches. The data generated by the Center includes characterization of thousands of chemicals across hundreds of high-throughput screening assays, consumer use and production information, pharmacokinetic properties, literature data, physical-chemical properties as well as the predictive computational modeling of toxicity and exposure. We have developed a number of databases and applications to deliver the data to the public, academic community, industry stakeholders, and regulators. This presentation will provide an overview of our work to develop an architecture that integrates diverse large-scale data from the chemical and biological domains, our approaches to disseminate these data, and the delivery of models supporting predictive computational toxicology. In particular, this presentation will review our new CompTox Chemistry Dashboard and the developing architecture to support real-time property and toxicity endpoint prediction. This abstract does not reflect U.S. EPA policy.New developments in delivering public access to data from the National Center...
New developments in delivering public access to data from the National Center...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models. The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemistry Dashboard, an open chemistry resource and web application containing data for ~760,000 substances. Rank-ordering the number of sources associated with chemical records within the Dashboard (Data Source Ranking) improves the identification of unknowns by bringing the most likely candidate structures to the top of a search results list. Database searching has been further optimized with the generation of MS-Ready Structures. MS-Ready structures are de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses was designed and released to improve searching efforts. Finally, a scoring-based identification scheme was developed, optimized, and surfaced via the Dashboard using multiple data streams contained within the database underlying the Dashboard. The scoring-based identification scheme improved the identification of unknowns over previous efforts using data source ranking alone. Combining these steps within an open chemistry resource provides a freely available software tool for structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various data streams on ~760,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, consumer product and functional use information and a myriad of related data of value to environmental scientists and toxicologists. At this stage of development, the public dashboard provides access to almost 20 predicted physicochemical and environmental fate and transport endpoints with full transparency in terms of model performance. Experimental and predicted human and ecological toxicity data are also available, as are in vitro to in vivo extrapolation dosimetry predictions and predicted exposure and functional use. In parallel to the CompTox Chemistry Dashboard we are developing RapidTox, a web-based application that enables a rapid, flexible and transparent prioritization process for sets of chemicals using several previously used workflows focused on scoring of traditional risk metrics and the inclusion of alternative hazard and exposure estimates. This presentation will give an overview of the CompTox Chemistry Dashboard, RapidTox, our approaches to building transparent and open prediction models, and our efforts to provide access to real time predictions. This abstract does not necessarily represent U.S. EPA policy.US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are utilized to identify emerging contaminants and chemical signatures of interest detected in various media. At the US Environmental Protection Agency the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is an open chemistry resource and web-based application containing data for ~900,000 substances and supports non-targeted and suspect screening analyses. Searching functionality includes identifier searches (e.g. systematic names, trade names and CAS Registry Numbers), mass and formula-based searches and prototype developments include combined substructure-mass/formula searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the database uses “MS-Ready” structures, a way to process all registered substances to separate multi-component chemicals into their individual components, removal of stereochemical bonds and desalting and neutralization. This MS-Ready processing supports batch-searching using either mass or formulae to identify candidate chemicals and their mapped substances. A number of chemical lists (https://comptox.epa.gov/dashboard/chemical_lists) have also been developed to support the identification of chemicals related to agrochemistry, specifically pesticides (both active and inert constituents), insecticides and their metabolites and environmental breakdown products). This presentation will provide an overview of how the CompTox Chemicals Dashboard supports mass spectrometry based structure identification and non-targeted analysis of chemicals in agrochemistry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Multiple regulatory bodies (EPA, ECHA, Health Canada) are currently tasked with prioritizing chemicals for data collection and risk assessments. These prioritization efforts are in response to regulatory mandates to identify chemicals for further assessment. We have developed a web-based application that enables a rapid, flexible and transparent prioritization process. The tool includes multiple data streams related to human and ecological hazard, exposure, and physicochemical properties (persistence and bioaccumulation). For human hazard, the data streams include quantitative points of departure (PODs) that are compiled from multiple sources such as EPA ToxRefDB, ECHA, COSMOS; estimated PODs from high-throughput in vitro screening assays and computational models; and qualitative measurements and predictions of specific endpoints (e.g., genotoxicity, endocrine activity). For ecological hazard, quantitative PODs are taken from the EPA ECOTOX database. Exposure information includes production volume, quantitative predictions using the EPA ExpoCast and SHEDS models, biomonitoring data, and qualitative information such as media occurrence, use profiles and likelihood of consumer and childhood exposures. The use of the tool is illustrated by prioritizing chemicals related to TSCA and the Safer Choice Ingredient List. The underpinning data streams for this application are already available in the EPA CompTox Chemistry Dashboard and have been repurposed to deliver this application. This is in keeping with our overarching software development methodology of providing multiple “building blocks” in the form of databases, web services and visualization components to deliver fit-for purpose applications to the relevant audiences. This abstract does not necessarily represent U.S. EPA policy.Development of a Tool for Systematic Integration of Traditional and New Appro...
Development of a Tool for Systematic Integration of Traditional and New Appro...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The CompTox Chemicals Dashboard is an open chemistry resource and web-based application containing data for ~900,000 substances. While it pales in comparison to other online resources containing many tens of millions of chemical substances it represents two decades of effort to aggregate and curate chemical data to deliver access to physicochemical properties and environmental fate and transport data, in vitro and in vivo toxicity data and consumer product data for over 500,000 products. Associated with the chemical substance collections are specific lists based on chemical classes (e.g. polychlorinated biphenyls (PCBs)), usage categories (e.g. flame retardants, pesticides), specific environmental classes of interest (e.g. disinfectant by-products) and regulatory lists (e.g. TSCA, Toxics release inventory data). The underlying database expands daily as a result of the efforts of curators who continue to harvest data from peer-reviewed publications, regulatory documents and relevant online databases. The cheminformatics architecture allows for mapping between parent chemicals and related substances including metabolites and environmental degradants. The dashboard has become a valuable resource in the identification of chemical substances in the environment.
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. Our research using HRMS for non-targeted and suspect screening analyses utilizes Advanced Search capabilities including mass and formula-based searches. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. These MS-Ready structures have been used as an input set for computational MS-fragmentation to provide a database against which to search experimental data for spectral matching. This presentation will provide an overview of how CompTox Chemicals Dashboard, the underlying data, and how it supports structure identification and non-targeted analysis in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era.
This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.
The needs for chemistry standards, database tools and data curation at the ch...
The needs for chemistry standards, database tools and data curation at the ch...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is a freely available web-based application providing access to data for ~900,000 chemical substances, the majority of these represented as chemical structures. The Dashboard also provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders and, in particular, a list of hundreds of disinfection by-product (DBP) chemicals reported in the literature and detected in the laboratory using mass spectrometric techniques. Many of these chemicals are explicit chemical structures whose structures have been confirmed using purchased or synthesized reference standards. However, some of these chemicals may be ambiguous in nature with no explicit positional isomers being possible to define but the formula and mass spec fragmentation sufficient to define a class of chemicals (e.g. dichlorophenol). Such chemicals may be represented with ambiguous chemical structure forms, so-called Markush structures, and mapped to the individual class members. Chemicals accessible via the Dashboard can include access to a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, product use information extracted from safety data sheets, and integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. Since DBP chemicals are primarily identified using mass spectrometric techniques specific search types have been developed to directly support the non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. This presentation will provide an overview of the Dashboard, the ongoing expansion of the DBP chemical list and specific functionality supporting identification of DBPs by mass spectrometry. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to data for >600 disinfection by-products via the EPA CompTo...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-2-aug-18-2021/New Approach Methods - What is That?
New Approach Methods - What is That?US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presentation for Texas A&M Superfund Research Center virtual learning series, Big Data in Environmental Science and Toxicology. More details at https://superfund.tamu.edu/big-data-session-1-july-14-2021/How to place your research questions or results into the context of the "Lega...
How to place your research questions or results into the context of the "Lega...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
EPA’s National Center for Computational Toxicology is developing automated workflows for curating large databases within the DSSTox project, and providing accurate linkages of data to chemical structures, exposure and hazard information. The data are made available via the EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard), a publicly accessible website providing access to data for ~880,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, as well as integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. In addition, several specific search types are in development to directly support the mass spectrometry non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within the database. The application provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders, including, for example, scientists interested in Per- & Polyfluoroalkyl Substances (PFAS). Added lists include those sourced from the European Union as well as developed in-house and now containing thousands of chemicals. A procured testing library of hundreds of PFAS chemicals annotated into chemical categories has been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and links to the open literature. This presentation will provide an overview of the dashboard, the developing library of PFAS chemicals and associated categorization, and new physicochemical property and environmental fate and transport QSAR prediction models developed for these chemicals. The application of the dashboard to support mass spectrometry non-targeted analysis studies for the identification of PFAS chemicals will also be reviewed. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program utilizes computational and data-driven approaches that integrate chemistry, exposure and biological data to help characterize potential risks from chemical exposure. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard website provides access to data associated with ~900,000 chemical substances. New data are added on an ongoing basis, including the registration of new and emerging chemicals, data extracted from the literature, chemicals studied in our labs, and data of interest to specific research projects at the EPA. Hazard and exposure data have been assembled from a large number of public databases and as a result the dashboard surfaces hundreds of thousands of data points. Other data includes experimental and predicted physicochemical property data, in vitro bioassay data for over 4000 chemicals and ~1500 assays, and millions of chemical identifiers (names and CAS Registry Numbers) to facilitate searching. Other integrated modules include an interactive read-across module, real-time physicochemical and toxicity endpoint prediction and an integrated search to PubMed. This presentation will provide an overview of the CompTox Chemicals Dashboard and how it has developed into an integrated data hub for environmental data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.US-EPA Chemicals Dashboard – an integrated data hub for environmental science
US-EPA Chemicals Dashboard – an integrated data hub for environmental scienceUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The increasing popularity of high mass accuracy non-target mass spectrometry methods has yielded extensive identification efforts based on chemical compound databases. Candidate structures are often retrieved with either exact mass or molecular formula from large resources such as PubChem, ChemSpider or the EPA CompTox Chemistry Dashboard. Additional data (e.g. fragmentation, physicochemical properties, reference and data source information) is then used to select potential candidates, depending on the experimental context. However, these strategies require the presence of substances of interest in these compound databases, which is often not the case as no database can be fully inclusive. A prominent example with clear data gaps are surfactants, used in many products in our daily lives, yet often absent as discrete structures in compound databases. Linear alkylbenzene sulfonates (LAS) are a common, high use and high priority surfactant class that have highly complex transformation behaviour in wastewater. Despite extensive reports in the environmental literature, few of the LAS and none of the related transformation products were reported in any compound databases during an investigation into Swiss wastewater effluents, despite these forming the most intense signals. The LAS surfactant class will be used to demonstrate how the coupling of environmental observations with high resolution mass spectrometry and detailed literature data (expert knowledge) on the transformation of these species can be used to progressively “fill the gaps” in compound databases. The LAS and their transformation products have been added to the CompTox Chemistry Dashboard (https://comptox.epa.gov/) using a combination of “representative structures” and “related structures” starting from the structural information contained in the literature. By adding this information into a centralized open resource, future environmental investigations can now profit from the expert knowledge previously scattered throughout the literature. Note: This abstract does not reflect US EPA policy.Adding complex expert knowledge into chemical database and transforming surfa...
Adding complex expert knowledge into chemical database and transforming surfa...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted analysis (NTA) uses high-resolution mass spectrometry to better understand the identity of a wide variety of chemicals present in environmental samples (and other matrices). However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Analysis of the resultant mass spectrometry information relies on cheminformatics to identify and rank chemicals and the US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) to address challenges related to this analysis. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will review how the CompTox Chemicals Dashboard via its flexible search capabilities, rich data for ~900,000 chemical substances, and visualization approaches within this open chemistry resource provides a freely available software tool to support structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Chemical identification of unknowns in high resolution mass spectrometry usin...
Chemical identification of unknowns in high resolution mass spectrometry usin...
Open PHACTS Chemistry Platform Update and Learnings
Open PHACTS Chemistry Platform Update and Learnings
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Structure identification by Mass Spectrometry Non-Targeted Analysis using the...
Accessing information for chemicals in hydraulic fracturing fluids using the ...
Accessing information for chemicals in hydraulic fracturing fluids using the ...
An examination of data quality on QSAR Modeling in regards to the environment...
An examination of data quality on QSAR Modeling in regards to the environment...
New developments in delivering public access to data from the National Center...
New developments in delivering public access to data from the National Center...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
Using the US EPA’s CompTox Chemistry Dashboard for structure identification a...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for ...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Structure identification approaches using the EPA CompTox Chemicals Dashboard...
Development of a Tool for Systematic Integration of Traditional and New Appro...
Development of a Tool for Systematic Integration of Traditional and New Appro...
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...
What chemicals constitute the Exposome? Accessing data via the US EPA’s Comp...
The needs for chemistry standards, database tools and data curation at the ch...
The needs for chemistry standards, database tools and data curation at the ch...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...
Web-based access to data for >600 disinfection by-products via the EPA CompTo...
How to place your research questions or results into the context of the "Lega...
How to place your research questions or results into the context of the "Lega...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
The EPA iCSS Chemistry Dashboard to Support Compound Identification Using Hig...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
PFAS Chemistry: Range, Complexity, Groupings, and the CompTox Chemicals Dash...
US-EPA Chemicals Dashboard – an integrated data hub for environmental science
US-EPA Chemicals Dashboard – an integrated data hub for environmental science
Adding complex expert knowledge into chemical database and transforming surfa...
Adding complex expert knowledge into chemical database and transforming surfa...
Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...
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Many of us nowadays invest significant amounts of time in sharing our activities and opinions with friends and family via social networking tools such as Facebook, Twitter or other related websites. However, despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our careers. We are already being indexed and exposed on the internet via our publications, presentations and data and new “AltMetric scores” are being assigned to scientific publications as measures of popularity and, supposedly, of impact. We now have even more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation provides an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. It will discuss the new world of AltMetrics that is in an explosive growth curve and will help you understand how to influence and leverage some of these new measures. Participating online, whether it be simply for career advancement or for wider exposure of your research, there are now a series of web applications that can provide a great opportunity to develop a scientific profile within the community.Building an Online Profile Using Social Networking and Amplification Tools fo...
Building an Online Profile Using Social Networking and Amplification Tools fo...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data but recent developments have focused on the development of a new software architecture that assembles the resources into a single platform. A new web application, the CompTox Chemistry Dashboard provides access to data associated with ~720,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, product and functional use information and a myriad of related data of value to environmental scientists.
The dashboard provides chemical-based searching based on chemical names, synonyms and CAS Registry Numbers. Flexible search capabilities allow for chemical identification based on non-targeted analysis studies using mass spectrometry. Chemical identification using both mass and formula-based searching utilizes rank-ordering of results via functional use statistics, thereby providing a solution to help prioritize chemicals for further review when detected in environmental media.
This presentation will provide an overview of the CompTox Dashboard, its capabilities for delivering data to the environmental toxicology community and how the architecture provides a foundation for the development of additional applications to support chemical risk assessment. This abstract does not reflect U.S. EPA policy.
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the College of Textiles at North Carolina State University in Raleigh in January 2017. This presentation was to an honors class to help them understand how social media tools such as LinkedIn, ResearchGate, Academia.edu etc could be useful for early career professionals and students.Social Networking Tools for Scientists and Building an Online Profile
Social Networking Tools for Scientists and Building an Online ProfileUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Many of us nowadays invest significant amounts of time in sharing our activities and opinions with friends and family via social networking tools such as Facebook, Twitter or other related websites. However, despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our careers. We are already being indexed and exposed on the internet via our publications, presentations and data and new “AltMetric scores” are being assigned to scientific publications as measures of popularity and, supposedly, of impact. We now have even more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation provides an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. It will discuss the new world of AltMetrics that is in an explosive growth curve and will help you understand how to influence and leverage some of these new measures. Participating online, whether it be simply for career advancement or for wider exposure of your research, there are now a series of web applications that can provide a great opportunity to develop a scientific profile within the community.Building an Online Profile: Social Networking and Amplification Tools for Sc...
Building an Online Profile: Social Networking and Amplification Tools for Sc...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
On Friday September 16th I was honored with the award for the North Carolina American Chemical Society Distinguished Speaker Award and got to review the past 20 years of my career. This was my short intro bio
"Antony Williams is a Ph.D. NMR spectroscopist and cheminformatician who has worked in academia, government, a Fortune 500 company, and two start-ups. He is co-founder of the free online chemical database ChemSpider, originally started as a hobby project and ultimately acquired by the Royal Society of Chemistry (in the UK) and now used by over 50,000 users per day. He is now a computational chemist at the Environmental Protection Agency in the National Center for Computational Toxicology and is focused on developing web applications to support data dissemination and progress efforts in allowing for faster and cheaper approaches to identify potential toxicological effects of chemicals. He has published >180 papers, >25 book chapters and a number of books. He is known as the ChemConnector on social networks. "How One Monkey on a Typewriter Made a Difference to Online Chemistry
How One Monkey on a Typewriter Made a Difference to Online ChemistryUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presenter(s): Ruth Baker, Jeffrey Mortimore.
Presenters offered simple strategies for content creation and management that maximize opportunities for repurposing content across delivery platforms while keeping maintenance to a minimum. Strategies for content creation include
naming, description, and chunking-that support repurposing of content for multiple audiences and support contexts. The presentation also covers strategies for dynamically mapping content across platforms that eliminates any need to monitor platform content separately. While this session will focus on LibGuides and LibAnswers, the content creation techniques discussed are applicable to any content management system that supports dynamic content mapping and/or external widget creation.Simple Springshare Mashups: Cross-Platform Strategies for Repurposing Digital...
Simple Springshare Mashups: Cross-Platform Strategies for Repurposing Digital...Georgia Libraries Conference (formerly Ga COMO).
The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. We have delivered public access to terabytes of open data, as well to a large number of publicly accessible databases and applications, to support the research efforts for a large community of scientists. Many of our contributions to science are summarily described in research papers but to date we have not optimized our contributions to inform altmetrics statistics associated with our work. Critically missing from altmetrics is access to our numerous software applications and web service accesses, as well as the growing importance of our experimental data and models (e.g ToxCast, ExpoCast, DSSTox and others) to the scientific and regulatory communities. This presentation will provide an overview of our efforts to more fully understand, and quantify, our impact on the environmental sciences using a combination of our measurement approaches and available altmetrics tools. This abstract does not reflect U.S. EPA policy.Investigating Impact Metrics for Performance for the US-EPA National Center f...
Investigating Impact Metrics for Performance for the US-EPA National Center f...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Despite the availability of many platforms for scientists to connect and share with their peers in the scientific community the majority do not make use of these tools, despite their promise and potential impact and influence on our careers. We are already being indexed and exposed on the internet via our publications, presentations and data and new “AltMetric scores” are being assigned to scientific publications as measures of popularity and, supposedly, of impact. We now have even more ways to contribute to science, to annotate and curate data, to “publish” in new ways, and many of these activities are as part of a growing crowdsourcing network. This presentation provides an overview of the various types of networking and collaborative sites available to scientists and ways to expose your scientific activities online. It will discuss the new world of AltMetrics that is in an explosive growth curve and will help you understand how to influence and leverage some of these new measures. Participating online, whether it be simply for career advancement or for wider exposure of your research, there are now a series of web applications that can provide a great opportunity to develop a scientific profile within the community.Social Media Tools for Scientists and Building an Online Profile
Social Media Tools for Scientists and Building an Online ProfileUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Presenter(s): Jeffrey Mortimore, Jessica Garner, Jermaine Bryant, Jessica Williams.
Interlibrary Loan (ILL) requests reveal a lot about our collections, from development needs to access issues. This session focuses on how ILL and Technical Services personnel at Georgia Southern University are using ILL request information to troubleshoot and improve electronic resource access across our collections.
A Bird in the Hand: Leveraging ILL Requests to Improve Electronic Resource A...
A Bird in the Hand: Leveraging ILL Requests to Improve Electronic Resource A...Georgia Libraries Conference (formerly Ga COMO).
Destacado (19)
Building an Online Profile Using Social Networking and Amplification Tools fo...
Building an Online Profile Using Social Networking and Amplification Tools fo...
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...
The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Tox...
Social Networking Tools for Scientists and Building an Online Profile
Social Networking Tools for Scientists and Building an Online Profile
Building an Online Profile: Social Networking and Amplification Tools for Sc...
Building an Online Profile: Social Networking and Amplification Tools for Sc...
How One Monkey on a Typewriter Made a Difference to Online Chemistry
How One Monkey on a Typewriter Made a Difference to Online Chemistry
Using Ecological Momentary Assessment to Examine Post-food Consumption Affect...
Using Ecological Momentary Assessment to Examine Post-food Consumption Affect...
From Data Availability to Information Accessibility: The WellWiki Project
From Data Availability to Information Accessibility: The WellWiki Project
Simple Springshare Mashups: Cross-Platform Strategies for Repurposing Digital...
Simple Springshare Mashups: Cross-Platform Strategies for Repurposing Digital...
SMS Berlin 2016 Cultural Perspectives on Strategic Management
SMS Berlin 2016 Cultural Perspectives on Strategic Management
Investigating Impact Metrics for Performance for the US-EPA National Center f...
Investigating Impact Metrics for Performance for the US-EPA National Center f...
Social Media Tools for Scientists and Building an Online Profile
Social Media Tools for Scientists and Building an Online Profile
A Bird in the Hand: Leveraging ILL Requests to Improve Electronic Resource A...
A Bird in the Hand: Leveraging ILL Requests to Improve Electronic Resource A...
Shaping Expectations: Defining and Refining the Role of Technical Services in...
Shaping Expectations: Defining and Refining the Role of Technical Services in...
Web Preservation, or Managing your Organisation’s Online Presence After the O...
Web Preservation, or Managing your Organisation’s Online Presence After the O...
Going Concerns: A Perspective from the Nexus of Business, Culture and Instit...
Going Concerns: A Perspective from the Nexus of Business, Culture and Instit...
Similar a Environmental Chemistry Compound Identification Using High Resolution Mass Spectrometry Data Integrated to the EPA Chemistry Dashboard
This presentation was given at the ASMS Sanibel Conference "Unraveling the Exposome" and provided a general overview of the dashboard and how it integrates to many of the projects that we support but with a special focus on list generation, mass and formula searching based on MS-Ready structures and some of the prototypes that we have been developing to support non-targeted analysis.The US-EPA CompTox Chemicals Dashboard to support Non-Targeted Analysis
The US-EPA CompTox Chemicals Dashboard to support Non-Targeted AnalysisUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at a TRIANGLE AREA MASS SPECTOMETRY meeting on 01/29/2019 in Research Triangle Park, North Carolina to provide a general overview of the CompTox Chemicals Dashboard to an audience of mass spectrometrists and people interested in the capabilities of the dashboard for chemical forensics, structure identification etc.TRIANGLE AREA MASS SPECTOMETRY MEETING: Structure Identification Approaches U...
TRIANGLE AREA MASS SPECTOMETRY MEETING: Structure Identification Approaches U...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental matrices, improving the means by which exposure analyses can be conducted. However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists. Structure identification requires integration of complementary data types such as reference databases (either commercial or open databases), fragmentation prediction tools, and retention time prediction models. One goal of our research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemicals Dashboard, an open chemistry resource and web application containing data for ~900,000 substances. Database searching using mass or formula-based inputs has been optimized for structure identification using “MS-Ready Structures”: de-salted, stripped of stereochemistry, and mixture separated to replicate the form of a chemical observed via HRMS. Functionality to conduct batch searching of molecular formulae and monoisotopic masses has also been implemented. While the increasing number of free online databases are of value to support chemical structure verification and elucidation there are known issues regarding data quality and careful data curation is a very necessary part of the development of these resources. This presentation will provide an overview of our latest enhancements to the dashboard to support mass spectrometry, incorporation of specific datasets (i.e. to support breath research and household dust analysis) and the value of metadata and predicted fragmentation spectral matching to support structure identification. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...
The US-EPA CompTox Chemicals Dashboard – a key player in the domain of Open S...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
Non-targeted analysis (NTA) uses high-resolution mass spectrometry to better understand the identity of a wide variety of chemicals present in environmental samples (and other matrices). However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Analysis of the resultant mass spectrometry information relies on cheminformatics to identify and rank chemicals and the US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) to address challenges related to this analysis. These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching. Combining these tools into a comprehensive workflow improves certainty in candidate identification. This presentation will review how the CompTox Chemicals Dashboard via its flexible search capabilities, rich data for ~875,000 chemical substances, and visualization approaches within this open chemistry resource provides a freely available software tool to support structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Non-targeted analysis supported by data and cheminformatics delivered via the...
Non-targeted analysis supported by data and cheminformatics delivered via the...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The Center for Computational Toxicology and Exposure (CCTE) is part of the Office of Research and Development at the US Environmental Protection Agency. As part of its mission the center delivers access to chemicals related data via web-based freely accessible online Dashboards to disseminate data generated within the center as well as harvested and integrated from open databases around the world. The CompTox Chemicals Dashboard (available at https://comptox.epa.gov/dashboard) provides access to >1.2 million chemicals and associated data including experimental and predicted property data, in vivo hazard data, in vitro bioactivity data, exposure data, and various other data types. The curation of the chemicals dataset has included the development of over 400 segregated lists of chemicals that represent specific research areas of interest including disinfectant by-products, per- and polyfluoroalkyl substances (PFAS), extractables and leachables, and chemicals of emerging concern. The chemicals collection, the associated data, the lists and searches for mass and formulae makes the Dashboard an ideal foundation technology to support our colleagues working in the field of mass spectrometry, especially in targeted and non-targeted analysis. This presentation will provide an overview of the Dashboard, its value to the community in terms of providing access to the integrated and highly curated data, and its utility to support researchers in the field of mass spectrometry. New proof-of-concept projects will also be introduced including the development of a cheminformatics enabled methods database. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing Environmental Chemistry Data via Data Dashboards and Applications t...
Accessing Environmental Chemistry Data via Data Dashboards and Applications t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In recent years, the growth of scientific data and the increasing need for data sharing and collaboration in the field of environmental chemistry has led to the creation of various software and databases that facilitate research and development into the safety and toxicity of chemicals. The US-EPA Center for Computational Toxicology and Exposure has been developing software and databases that serve the chemistry community for many years. This presentation will focus on several web-based software applications which have been developed at the US-EPA and made available to the community. While the primary software application from the Center is the CompTox Chemicals Dashboard almost a dozen proof-of-concept applications have been built serving various capabilities. The publicly accessible Cheminformatics Modules (https://www.epa.gov/chemical-research/cheminformatics) provides access to six individual modules to allow for hazard comparison for sets of chemicals, structure-substructure-similarity searching, structure alerts and batch QSAR prediction of both physicochemical and toxicity endpoints. Each of these depends on the underlying DSSTox chemicals database, a rich source of chemistry data for over 1.2 million chemical substances. This presentation will provide an overview of all tools in development and the integrated nature of the applications based on the underlying chemistry data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection AgencyUtilizing US-EPA Data Dashboards to Support Exposomics research
Utilizing US-EPA Data Dashboards to Support Exposomics researchUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
As part of its mission the Center for Computational Toxicology and Exposure (CCTE) delivers access to chemicals related data via online Dashboards. The CompTox Chemicals Dashboard (available at https://comptox.epa.gov/dashboard) provides access to >900,000 chemicals and associated data including experimental and predicted property data, in vivo hazard data, in vitro bioactivity data, exposure data, and various other data types. The application provides a set of flexible searches allowing for search, visualization and downloads of the data to the desktop for further interrogation. This presentation will provide an overview of the Dashboard and other proof-of-concept applications that are now publicly available (https://www.epa.gov/chemical-research/cheminformatics). For example, the Hazard Comparison module (shown in the figure below) allows profiling of chemicals based on toxicity types (https://doi.org/10.1007/s10098-019-01795-w). This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Accessing Environmental Chemistry Data via Data Dashboards
Accessing Environmental Chemistry Data via Data Dashboards US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. At the US Environmental Protection Agency, our research using HRMS for non-targeted and suspect screening analyses utilizes databases and cheminformatics approaches that are applicable to chemical forensics. The CompTox Chemistry Dashboard is an open chemistry resource and web-based application containing data for ~760,000 substances. Basic functionality for searching through the data is provided through identifier searches, such as systematic name, trade names and CAS Registry Numbers. Advanced Search capabilities supporting mass spectrometry include mass and formula-based searches, combined substructure-mass searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. This presentation will provide an overview of the CompTox Chemistry Dashboard and demonstrate its utility for supporting structure identification and NTA in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...
Applications of the US EPA’s CompTox Chemistry Dashboard to support structure...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A presentation given at the 5th Metabolomics of North America webinar on September 8th 2023. Provides an overview of the cheminformatics support provided by the DSSTox database, CompTox Chemicals Dashboard and multiple other web-based applications in development Cheminformatics Support for MS Supporting Exposomics
Cheminformatics Support for MS Supporting ExposomicsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The EPA CompTox Chemistry Dashboard provides access to data associated with ~760,000 chemical substances. The available data includes experimental and predicted physicochemical properties, environmental fate and transport data, in vivo and in silico toxicity data, in vitro bioassay data, exposure data and a variety of other types of information. The data are under continuous expansion and curation and the experimental data have been used to develop QSAR and QSPR models. A number of these models are available via a web interface so that users can submit a chemical structure and predict properties in real time. The dashboard also provides access to pre-compiled chemical lists and categories, including pesticides, and chemicals detected in the environment via non-targeted mass spectrometry analysis. The data are searchable using chemical identifiers (systematic names, trade names, CAS Registry Numbers), by structure, mass and formula. Batch searches allow for data associated with thousands of chemicals to be obtained in a few seconds, with just a few button clicks, and downloaded to the desktop. This presentation will provide an overview of the Dashboard and its applications to accessing source data associated with agriculturally related chemicals. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Web-based access to experimental and predicted data for environmental fate, t...
Web-based access to experimental and predicted data for environmental fate, t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
A presentation given at the Global Marine Summit at UNC Wilmington on October 9th 2019. The focus of the presentation was an overview of the EPA CompTox Chemicals Dashboard with a specific focus on providing access to data to chemicals such as algal toxins and mycotoxins. US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...
US EPA CompTox Chemicals Dashboard Data Integration Hub to Support Environmen...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
In recent years, the growth of scientific data and the increasing need for data sharing and collaboration in the field of environmental chemistry has led to the creation of various software and databases that facilitate research and development into the safety and toxicity of chemicals. The US-EPA Center for Computational Toxicology and Exposure has been developing software and databases that have served the chemistry community for many years. Several web-based software applications have been developed at the US-EPA and made available to the community to provide access to information regarding mycotoxins. This includes related structures, experimental and predicted properties, hazard data and mass spectrometry analytical data and methods. While the primary software application from the Center is the CompTox Chemicals Dashboard almost a dozen proof-of-concept applications have been built serving various capabilities. The publicly accessible Cheminformatics Modules (https://www.epa.gov/chemical-research/cheminformatics) provides access to modules to allow for hazard comparison for sets of chemicals, structure-substructure-similarity searching and batch QSAR prediction of both physicochemical and toxicity endpoints. This presentation will provide an overview of all tools in development that provide access to mycotoxin related data and the integrated nature of the applications based on the underlying chemistry data set. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Data delivery from the US-EPA Center for Computational Toxicology and Exposur...
Data delivery from the US-EPA Center for Computational Toxicology and Exposur...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US-EPA National Center for Computational Toxicity (NCCT) has been generating data and building software applications and web-based chemistry databases for over a decade. During this period the center has analyzed thousands of chemicals in hundreds of bioassays, has researched high-throughput physicochemical property measurements and investigated approaches for high throughput toxicokinetics. NCCT continues to expand the battery of assays and number of chemicals under examination and is now investigating the application of transcriptomics. In parallel to these experimental efforts, and to support our efforts to develop new approaches to prioritize chemicals based on potential human health risks, we aggregate and curate data streams of various types to support prediction models. Over the past few years some of the data have been delivered through prototype web-based “dashboards” for public consumption. The latest of these web applications, the CompTox Chemicals Dashboard, is an integrated access point to obtain information associated with 875,000 chemical substances and providing experimental and predicted data of various types. This includes physicochemical and fate and transport data, bioactivity data, exposure data and integrated literature searches. Real-time predictions and generalized read-across are possible and advanced search capabilities are available to support EPA-related projects including mass spectrometry non-targeted analysis. This presentation will provide an overview of the CompTox Chemicals Dashboard and the its role in delivering access to the outputs of NCCT. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.Delivering web-based access to data and algorithms to support computational t...
Delivering web-based access to data and algorithms to support computational t...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
This presentation was given at the XPAND2022 Annual Meeting for the Household & Commercial Products Association and focused non-targeted analysis mass spectrometry and applications of the CompTox Chemicals Dashboard.Integrating Mass Spectrometry Non-Targeted Analysis and Computational Chemis...
Integrating Mass Spectrometry Non-Targeted Analysis and Computational Chemis...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The US-EPA CompTox Chemicals Dashboard provides access to data associated with ~900,000 chemical substances. Available data include experimental and predicted physicochemical properties, environmental fate and transport data, in vivo and in silico toxicity data, in vitro bioassay data, exposure data and a variety of other types of information. The data are under continuous expansion and curation and the experimental data have been used to develop QSAR and QSPR models. A number of these models are available via a web interface so that users can submit a chemical structure and predict properties in real time. The dashboard also provides access to pre-compiled chemical lists and categories, including pesticides, and chemicals detected in the environment via non-targeted mass spectrometry analysis. The data are searchable using chemical identifiers (systematic names, trade names, CAS Registry Numbers), by structure, mass and formula. Batch searches allow for data associated with thousands of chemicals to be obtained in a few seconds, with just a few button clicks, and downloaded to the desktop in formats including spreadsheets and chemical structure file formats. This presentation will provide an overview of the Dashboard and its applications to accessing source data associated with agriculturally related chemicals. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.EPA’s CompTox Chemicals Dashboard, a tool with information on ~900,000 chemicals
EPA’s CompTox Chemicals Dashboard, a tool with information on ~900,000 chemicalsUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Progress in Using Big Data in Chemical Toxicity Research at the National Cent...US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
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Environmental Chemistry Compound Identification Using High Resolution Mass Spectrometry Data Integrated to the EPA Chemistry Dashboard
- 1. Environmental Chemistry Compound Identification Using High Resolution Mass Spectrometry Data Integrated to the EPA Chemistry Dashboard Antony J. Williams, Andrew McEachran, Jon Sobus, Seth Newton, Elin Ulrich, Chris Grulke, Kamel Mansouri, Jennifer Smith and Jeff Edwards November 14th, 2016 Eastern Analytical Symposium 2016 http://www.orcid.org/0000-0002-2668-4821 The views expressed in this presentation are those of the author and do not necessarily reflect the views or policies of the U.S. EPA
- 2. Who is NCCT? • National Center for Computational Toxicology – part of EPA’s Office of Research and Development • Research driven by EPA’s Chemical Safety for Sustainability Research Program – Develop new approaches to evaluate the safety of chemicals – Integrate advances in biology, biotechnology, chemistry, exposure science and computer science 1 • Goal - To identify chemical exposures that may disrupt biological processes and cause adverse outcomes.
- 3. Exposure Data Cannot Keep Pace with Regulatory Needs TSCA: > 84,000 P.P. Egeghy et al. Sci Total Environ. 414 (2012) 159–166
- 4. Introducing Our Latest Dashboard https://comptox.epa.gov 3 • >720,000 chemicals • >14 years assembling data
- 7. ToxCast Bioassay Screening Data Useful Meta Data 6
- 8. Functional Use and Composition VERY Useful Meta Data 7
- 9. Dashboard: External Links to Analytical Methods and Data 8
- 10. National Environmental Methods Index 9
- 11. Previous Work with Suspect-Screening ONE ASPECT of the dashboard is to support Non-targeted Analysis
- 12. Rank-Ordering of “Known-Unknowns” using ChemSpider 11
- 13. Some history… • 2007 A Hobby Project • 2009 ChemSpider Acquired • May 2015 Joined EPA – what we are showing is very new 12
- 15. Formula Search 14 Found 8 results for 'C8H14ClN5'
- 16. Monoisotopic Mass Search 15 Found 344 results for '215.096 ± 0.005 amu'
- 18. Download as SDF file 17
- 19. Does the Dashboard Add Value? 18 721k structures
- 20. Does the Dashboard Add Value? • Remember: – Focus on high quality data and curation – Data sources include EPA data sources and a focus on environmental chemistry • No “dilution” by chemical vendors 19
- 22. ChemSpider 6982 Results!!! Search for C15H15N3O2 21 Tacedinaline Methyl Red C.I Disperse Yellow 3
- 23. Same top hits – different ranking 90 hits only versus 6926 hits 22 18 17 4Tacedinaline Methyl Red C.I Disperse Yellow 3
- 24. Using Meta-Data to Sort Candidates 23 Anti-cancer Drug Microbiological Indicator Dye Textile/Product Dye
- 25. Chemical Identification Dashboard vs ChemSpider Sorted by number of references (ChemSpider) or data sources (Dashboard) Monoisotopic Mass (+/- 0.005 amu) Search Position of compound sorted Source of List # of Compounds Search Tool Mean Position Median Position #1 #2 #3 #4 #5+ McEachran et al Wastewater 34 ChemSpider 1.8 1 28 5 0 0 1 Dashboard 1.3 1 31 2 0 0 1 Misc. NTA Compounds 13 ChemSpider 2 1 7 5 0 0 1 Dashboard 1.7 1 10 2 0 0 1 Bade et al (2016) 19 ChemSpider 2.1 1 11 2 5 0 1 Dashboard 1.6 1 12 3 3 1 0 Rager et al (2016) 24 ChemSpider 2.25 1 15 2 1 2 4 Dashboard 1.08 1 22 2 0 0 0
- 26. Dashboard vs ChemSpider Ranking Summary Mass-based Searching Formula Based Searching Dashboard ChemSpider Dashboard ChemSpider Cumulative Average Position 1.3 2.2 1.2 1.4 % in #1 Position 85% 70% 88% 80% • Selected peer-reviewed publications • 162 total individual chemicals in search
- 27. Active vs Deleted CASRN 26
- 28. Collisions in CAS Numbers 27
- 29. But there are MANY CASRNs! • http://web.stanford.edu/group/swain/cinf/c asreg/snumber.html 28
- 30. How Bad Can It Get?? 29
- 31. How Bad Can It Get? This one is 316 Deleted CASRN 30
- 32. Our OPEN Data is available… • Various types of data at FTP download site: ftp://newftp.epa.gov/COMPTOX/Sustainable_Chemistry_ Data/Chemistry_Dashboard 31
- 33. Coming December 2016 Batch Searching Names/CASRNs • What are these chemicals? 32
- 34. Coming December 2016 Batch Searching… 33
- 35. Coming December 2016 Download to Excel 34
- 36. Batch Searching of Molecular Formula 35
- 37. Metadata included for Ranking 36
- 38. Need for “MS-Ready Structures” 37
- 39. “QSAR-Ready Structures” • For the purpose of building QSAR Models we already “standardize” structures – Desalt/Neutralize – Desolvate – Remove stereochemistry • Some minor tweaks gets us “MS-ready Structures”. ALREADY in our database. 38
- 40. “QSAR-Ready Structures” • Mass and Formula-based searches will be based on MS-ready structures but connected to the original chemical (with name, CAS, rank ordering) • MS-ready structures and substance mappings will be available as Open Data 39
- 41. Future Work • Continue to research rank-ordering approaches • Working on “retention time prediction” • Search for adducts (+Na, +K, +NH4) and handle decarboxylation, loss of water etc • Expand link outs to Mass Spec databases – Thermo’s mzCloud, Massbank, etc. • Predicting metabolites and degradants • Optimize web services for the community 40
- 42. Acknowledgements EPA NCCT Chris Grulke Jeff Edwards Ann Richard Jennifer Smith Andrew McEachran* EPA NERL Jon Sobus Seth Newton Elin Ulrich * = ORISE Participant
Notas del editor
- For example- Rager was actually 33 confirmed; Bade was 25