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Building a flexible infrastructure with Bioclipse, open source, and federated cloud services 1  Dept. Pharmaceutical Biosciences, Uppsala University, Sweden 2  Global Safety Assessment, AstraZeneca R&D, Sweden Ola Spjuth 1  and Lars Carlsson 2
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse ,[object Object],[object Object],[object Object],[object Object],[object Object],Spjuth O, Helmus T, Willighagen EL, Kuhn S, Eklund M, Wagener J, Murray-Rust P, Steinbeck C, Wikberg JES. Bioclipse: an open source workbench for chemo- and bioinformatics . BMC Bioinformatics  2007, 8:59. O. Spjuth, J. Alvarsson, A. Berg, M. Eklund, S. Kuhn, C. Mäsak, G. Torrance, J. Wagener, E. L. Willighagen, C. Steinbeck, and J. E. S. Wikberg. Bioclipse 2: A scriptable integration platform for the life sciences . Submitted, 2009.
What is a Rich Client? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse features ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Component-based architecture Bioclipse Proteochemometrics 2D 3D Data analysis Spectra Molecular dynamics
Bioclipse ,[object Object]
Other Eclipse-applications:  Maestro – NASA Space Mission Management
Other Eclipse-applications:  Dutch railways
XMPP services: Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
XMPP architecture Wagener J, Spjuth O, Willighagen EL, Wikberg JES. XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous Web services . BMC Bioinformatics  2009, 10:2799
Some mid-pres conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bioclipse and Drug Discovery Meets computational and reporting demands at various stages in the drug-discovery process DISCOVERY DEVELOPMENT LI FTIM LO CD Batch/scripting Tailored plugins  Rich content
Global Safety Assessment, AstraZeneca R&D   The objective of the group at AZ is to provide state-of-the-art tools to facilitate decision making in the drug-discovery process   The main focus is on predictive toxicology
Ames Risk Assessment System ,[object Object],[object Object],[object Object],[object Object]
Bioclipse Software Demonstration ,[object Object],[object Object],[object Object],[object Object],[object Object],Live Demo
Bioclipse Achievements ,[object Object],[object Object],[object Object],[object Object],Jury’s Special Prize
Genetta Soft AB ,[object Object],[object Object],[object Object],[object Object],www.genettasoft.com
Acknowledgements Dept. Pharmaceutical Biosciences, Uppsala University, Sweden Prof. Jarl E. S. Wikberg Dr. Egon Willighagen Martin Eklund Jonathan Alvarsson Carl Mäsak Eskil Anderssen Annsofi Andersson Arvid Berg Bjarni Juliusson Unilever Centre for Molecular Informatics, Univ. Cambridge, UK Prof. Peter Murray-Rust Prof. Robert Glen Samuel Adams Linnaeus Centre for Bioinformatics, Uppsala, Sweden Dr. Erik Bongcam-Rudloff Sofia Burvall European Bioinformatics Institute, Hinxton, UK Dr. Christoph Steinbeck Stefan Kuhn Dr. Gilleain Torrence Cologne University Bioinformatics Centre (CUBIC), Germany Dr. Tobias Helmus Miguel Rojas Thomas Kuhn Dept Clinical Pharmacology, Uppsala University, Sweden Prof. Rolf Larsson Dr. Claes Andersson Hanna Göransson Ludwig-Maximilians-Universität, Munich, Germany  Dr. Johannes Wagener ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you!
Supporting slides
Bioclipse Decision Support: Safety assessment Near-real time predictions
Bioclipse Decision Support: Interpretation of models Interpret results graphically
Bioclipse Decision Support: Optimize problematic regions Optimization invokes an XMPP service (long-running job)
Bioclipse Decision Support: Inspect optimized structures Upon completion, results are opened for inspection
Bioclipse Decision Support: Multiple Molecules Batch processing with overview
Bioclipse Decision Support: Report generation Integrated report generation (export to Excel, Word, ppt, pdf, etc)
MetaPrint2D: Site-of-metabolism prediction L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
MetaPrint2D: Site-of-metabolism prediction Predict multiple structures L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
Standardized QSAR in Bioclipse O. Spjuth, E. L. Willighagen, R. Guha, and J. E. S. Wikberg. Towards interoperable and reproducible QSAR analyses: Exchange of data sets.  Manuscript in preparation.

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Building a flexible infrastructure with Bioclipse, open source, and federated cloud services

  • 1. Building a flexible infrastructure with Bioclipse, open source, and federated cloud services 1 Dept. Pharmaceutical Biosciences, Uppsala University, Sweden 2 Global Safety Assessment, AstraZeneca R&D, Sweden Ola Spjuth 1 and Lars Carlsson 2
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Component-based architecture Bioclipse Proteochemometrics 2D 3D Data analysis Spectra Molecular dynamics
  • 7.
  • 8. Other Eclipse-applications: Maestro – NASA Space Mission Management
  • 10.
  • 11. XMPP architecture Wagener J, Spjuth O, Willighagen EL, Wikberg JES. XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous Web services . BMC Bioinformatics 2009, 10:2799
  • 12.
  • 13. Bioclipse and Drug Discovery Meets computational and reporting demands at various stages in the drug-discovery process DISCOVERY DEVELOPMENT LI FTIM LO CD Batch/scripting Tailored plugins Rich content
  • 14. Global Safety Assessment, AstraZeneca R&D   The objective of the group at AZ is to provide state-of-the-art tools to facilitate decision making in the drug-discovery process   The main focus is on predictive toxicology
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  • 22. Bioclipse Decision Support: Safety assessment Near-real time predictions
  • 23. Bioclipse Decision Support: Interpretation of models Interpret results graphically
  • 24. Bioclipse Decision Support: Optimize problematic regions Optimization invokes an XMPP service (long-running job)
  • 25. Bioclipse Decision Support: Inspect optimized structures Upon completion, results are opened for inspection
  • 26. Bioclipse Decision Support: Multiple Molecules Batch processing with overview
  • 27. Bioclipse Decision Support: Report generation Integrated report generation (export to Excel, Word, ppt, pdf, etc)
  • 28. MetaPrint2D: Site-of-metabolism prediction L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
  • 29. MetaPrint2D: Site-of-metabolism prediction Predict multiple structures L. Carlsson, O. Spjuth, S. Adams, R. C. Glen, and S. Boyer.   Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using metaprint2d and bioclipse . Manuscript in preparation.
  • 30. Standardized QSAR in Bioclipse O. Spjuth, E. L. Willighagen, R. Guha, and J. E. S. Wikberg. Towards interoperable and reproducible QSAR analyses: Exchange of data sets. Manuscript in preparation.

Notas del editor

  1. Briefly discuss what a rich client is. This is an opportunity to talk about all the pretty pictures, how making a selection in one view can change the appearance of others, drag and drop, yadda, yadda, yadda… Desktop app (not in web browser) Responsive UI, native look and feel Portability, run on multiple platforms Supports disconnected operation, servers on demand
  2. A platform for building platforms The Maestro team develops mission operations software at the NASA Jet Propulsion Laboratory, including the science operations tool for the Spirit and Opportunity Mars rovers and the upcoming Phoenix and Mars Science Laboratory missions. More than a year ago, the team adopted the Eclipse Rich Client Platform as the foundation for the next version of their software and the Eclipse Java Development Tools as their development environment. Challenges: User community is everything from technophiles to technophobes. New set of tools (i.e., application) for every mission Complex applications Geographically dispersed
  3. Web servers, web pages Web services: do both
  4. Web servers, web pages Web services: do both
  5. Web servers, web pages Web services: do both
  6. Web servers, web pages Web services: do both
  7. Supports: Control access to services Long-running jobs Look up available services
  8. Exact database lookup InChI Nearest Neighbors CDK Fingerprints Signature Significance QSAR Toxicophores SMARTS matching
  9. Data sets can be exchanged QSAR analyses can be validated and reproduced QSAR analyses can be merged and extended Establish public repositories