SlideShare una empresa de Scribd logo
1 de 37
Mashing Up Drug Discovery
There’s an API for that….
Lee Harland July 2013
Open PHACTS http://openphacts.org
SciBite http://scibite.com
ConnectedDiscovery http://connecteddiscovery.com
@Scibitely
What does an
Application Program
Interface look like?
http://traintimes.org.uk/map/tube/
Are There Any Bio/Chem/Med?
http://programmableweb.com/
Good Examples
NLM/NCBI/PubChem - http://www.ncbi.nlm.nih.gov/
EBI (inc ChEMBL,ChEBI etc) – http://ebi.ac.uk
NCI Cactus - http://cactus.nci.nih.gov/
ChemSpider - http://www.chemspider.com/
ChemAxon – e.g. Chemicalize
http://www.chemicalize.org/
OpenTox - http://www.opentox.org/dev/apis/api-
1.2/structure
Altmetric & ImpactStory
.. Many more web services out there…
vs
Case Studies
Patent Chemistry
1. SureChem
Free patent chemistry searching for all
Early access to newly published structures
Easy navigation through the relevant
chemistry in the full text of patent documents
Search, View, Print
Links to ChemSpider and RSC journals
A free viewer for SureChemDirect users
Secured by 128-bit encryption providing same level of security as
online banking and other proprietary chemistry searching tools!
SureChemOpen
SureChemDirect
 Direct access to chemistry & full
text patent data
 Data and search hosted on
SureChem AWS instance
 Dedicated AWS instances available
 Secure https line, 128-bit encryption
 Next day indexing of chemistry
 Integration with internal databases
and workflow tools (SharePoint,
Seurat, SpotFire etc)
 Rapid deployment using Pipeline
Pilot package
 Easy manipulation of large volumes
of patent chemistry
 Full support and documentation
 http://docs.surechem.com/direct/
 Direct access to chemistry &
patent metadata in csv
format
 Access via secure ftp
 Batch screening & analysis
behind your firewall
 Daily updates
API Data Feed
Drug Discovery, Right Now.
2. SciBite
Therapeutic Intelligence
I care about asthma.
What does the current
landscape of
(Drugs, Targets, Companies
, Trials, Collaborations…)
look like?
Where does TI come from?
Twitter-like Newsfeed
Slice & Dice With The API
Hot Target Barcodes
Indication Opportunity Map
Indications 
Organisations
Navigating Pharmacological Space
3. Open PHACTS
Open PHACTS Project Partners
Pfizer Limited – Coordinator
Universität Wien – Managing entity
Technical University of Denmark
University of Hamburg, Center for Bioinformatics
BioSolveIT GmBH
Consorci Mar Parc de Salut de Barcelona
Leiden University Medical Centre
Royal Society of Chemistry
Vrije Universiteit Amsterdam
Spanish National Cancer Research Centre
University of Manchester
Maastricht University
Aqnowledge
University of Santiago de Compostela
Rheinische Friedrich-Wilhelms-Universität Bonn
AstraZeneca
GlaxoSmithKline
Esteve
Novartis
Merck Serono
H. Lundbeck A/S
Eli Lilly
Netherlands Bioinformatics Centre
Swiss Institute of Bioinformatics
ConnectedDiscovery
EMBL-European Bioinformatics Institute
Janssen
OpenLink
pmu@openphacts.org
ChEMBL DrugBank
Gene
Ontology
Wikipathways
UniProt
ChemSpider
UMLS
ConceptWiki
ChEBI
TrialTrove
GVKBio
GeneGo
TR Integrity
“Find me compounds
that inhibit targets in
NFkB pathway assayed
in only functional assays
with a potency <1 μM”
“What is the
selectivity profile of
known p38 inhibitors?”
“Let me compare
MW, logP and PSA
for known
oxidoreductase
inhibitors”
It *Should* be easy to ask…
Number sum Nr of 1 Question
15 12 9 All oxidoreductase inhibitors active <100nM in both human and mouse
18 14 8
Given compound X, what is its predicted secondary pharmacology? What are the on and
off,target safety concerns for a compound? What is the evidence and how reliable is that
evidence (journal impact factor, KOL) for findings associated with a compound?
24 13 8
Given a target find me all actives against that target. Find/predict polypharmacology of actives.
Determine ADMET profile of actives.
32 13 8 For a given interaction profile, give me compounds similar to it.
37 13 8
The current Factor Xa lead series is characterised by substructure X. Retrieve all bioactivity data
in serine protease assays for molecules that contain substructure X.
38 13 8
Retrieve all experimental and clinical data for a given list of compounds defined by their chemical
structure (with options to match stereochemistry or not).
41 13 8
A project is considering Protein Kinase C Alpha (PRKCA) as a target. What are all the
compounds known to modulate the target directly? What are the compounds that may modulate
the target directly? i.e. return all cmpds active in assays where the resolution is at least at the
level of the target family (i.e. PKC) both from structured assay databases and the literature.
44 13 8 Give me all active compounds on a given target with the relevant assay data
46 13 8
Give me the compound(s) which hit most specifically the multiple targets in a given pathway
(disease)
59 14 8 Identify all known protein-protein interaction inhibitors
… paper coming very soon in DDT
Business Question Driven Approach
• Chemical Registration System
• Utilizes ChemSpider Validation and Standardization
platform including collapsing tautomers
• Utilizes FDA rule set as basis for standardization (GSK
lead)
• All molecules get a CVSP report – helps us biologists!
dev.openphacts.org
PharmaTrek
http://pharmatrek.org
The ChemBio Navigator
http://chembionavigator.org/
Utopia http://getutopia.org
Hacking The iPhone
http://www.youtube.com/watch?v=0aGB6YqtuQ0
Workflow Tools
+ Google Refine, Helium For Excel, Taverna
Anyone can now ask…
 Who’s working on what targets for what
indications?
 What chemical matter has been tested
against those targets?
 What does that chemical space look like?
 Whats been patented in that area?
 What other targets do those compounds
hit?
 Who’s working on those targets for what
indications…?
Security?
Is something wrong?
Nope
Are you sure?
Yeah. Why do you ask?
Security: Still A Concern For Some
 But more companies moving to cloud
externalisation
 Starting to see emergence of security
principles (Pistoia, Open PHACTS)
 VM’s (local, remote)
 Clever workflows
 Will opportunity overtake fear?
Conclusions
 Accessible API’s increasing
 Let people explore, they’ll find new use cases
 Can’t build a big interface on big data
 Usability, Discovery & Security key challenges
Acknowledgements
 SureChem Limited: http://surechem.com
 SciBite Limited: http://scibite.com
 Open PHACTS Consortium: http://openphacts.org |
http://dev.openphacts.org | http://explorer.openphacts.org

Más contenido relacionado

La actualidad más candente

Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
Semantic approaches for biomedical knowledge discovery - Discovery Science 20...Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
Michel Dumontier
 

La actualidad más candente (20)

Big Data in Genomics: Opportunities and Challenges
Big Data in Genomics: Opportunities and ChallengesBig Data in Genomics: Opportunities and Challenges
Big Data in Genomics: Opportunities and Challenges
 
Analyze Genomes: A Federated In-Memory Database System For Life Sciences
Analyze Genomes: A Federated In-Memory Database System For Life SciencesAnalyze Genomes: A Federated In-Memory Database System For Life Sciences
Analyze Genomes: A Federated In-Memory Database System For Life Sciences
 
A Federated In-Memory Database System for Life Sciences
A Federated In-Memory Database System for Life SciencesA Federated In-Memory Database System for Life Sciences
A Federated In-Memory Database System for Life Sciences
 
2016 bmdid-mappings
2016 bmdid-mappings2016 bmdid-mappings
2016 bmdid-mappings
 
Integrating and curating internet based chemistry resources to serve life sci...
Integrating and curating internet based chemistry resources to serve life sci...Integrating and curating internet based chemistry resources to serve life sci...
Integrating and curating internet based chemistry resources to serve life sci...
 
Powering Scientific Discovery with the Semantic Web (VanBUG 2014)
Powering Scientific Discovery with the Semantic Web (VanBUG 2014)Powering Scientific Discovery with the Semantic Web (VanBUG 2014)
Powering Scientific Discovery with the Semantic Web (VanBUG 2014)
 
Presentation from Code Camp 2017
Presentation from Code Camp 2017Presentation from Code Camp 2017
Presentation from Code Camp 2017
 
Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry
Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry
Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry
 
Usage of open source software for Real World Data Analysis in pharmaceutical ...
Usage of open source software for Real World Data Analysis in pharmaceutical ...Usage of open source software for Real World Data Analysis in pharmaceutical ...
Usage of open source software for Real World Data Analysis in pharmaceutical ...
 
2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe
 
Data Science for the Win
Data Science for the WinData Science for the Win
Data Science for the Win
 
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
 
Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...
 
Using Healthcare Data for Research @ The Hyve - Campus Party 2016
Using Healthcare Data for Research @ The Hyve - Campus Party 2016Using Healthcare Data for Research @ The Hyve - Campus Party 2016
Using Healthcare Data for Research @ The Hyve - Campus Party 2016
 
Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1
 
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMaking it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
 
Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
Semantic approaches for biomedical knowledge discovery - Discovery Science 20...Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
Semantic approaches for biomedical knowledge discovery - Discovery Science 20...
 
When pharmaceutical companies publish large datasets an abundance of riches o...
When pharmaceutical companies publish large datasets an abundance of riches o...When pharmaceutical companies publish large datasets an abundance of riches o...
When pharmaceutical companies publish large datasets an abundance of riches o...
 
ICIC 2017: Freeware and public databases: Towards a Wiki Drug Discovery?
ICIC 2017: Freeware and public databases: Towards a Wiki Drug Discovery?ICIC 2017: Freeware and public databases: Towards a Wiki Drug Discovery?
ICIC 2017: Freeware and public databases: Towards a Wiki Drug Discovery?
 
Link Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked DataLink Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked Data
 

Destacado

Grafico diario del dax perfomance index para el 15 04-2015
Grafico diario del dax perfomance index para el  15 04-2015Grafico diario del dax perfomance index para el  15 04-2015
Grafico diario del dax perfomance index para el 15 04-2015
Experiencia Trading
 
Presentation for Client Leadership - Buy.ology
Presentation for Client Leadership - Buy.ologyPresentation for Client Leadership - Buy.ology
Presentation for Client Leadership - Buy.ology
Heather Martin
 
Role of ionic liquid [BMIMPF6] in modifying the
Role of ionic liquid [BMIMPF6] in modifying theRole of ionic liquid [BMIMPF6] in modifying the
Role of ionic liquid [BMIMPF6] in modifying the
SHALU KATARIA
 

Destacado (18)

Grafico diario del dax perfomance index para el 15 04-2015
Grafico diario del dax perfomance index para el  15 04-2015Grafico diario del dax perfomance index para el  15 04-2015
Grafico diario del dax perfomance index para el 15 04-2015
 
What is Debt Settlement?
What is Debt Settlement?What is Debt Settlement?
What is Debt Settlement?
 
Presentation for Client Leadership - Buy.ology
Presentation for Client Leadership - Buy.ologyPresentation for Client Leadership - Buy.ology
Presentation for Client Leadership - Buy.ology
 
La Pobreza Poverty
La Pobreza PovertyLa Pobreza Poverty
La Pobreza Poverty
 
8 accused of illegal World Cup betting in Vegas
8 accused of illegal World Cup betting in Vegas8 accused of illegal World Cup betting in Vegas
8 accused of illegal World Cup betting in Vegas
 
Talous ja Yhteiskunta 4/2011
Talous ja Yhteiskunta 4/2011Talous ja Yhteiskunta 4/2011
Talous ja Yhteiskunta 4/2011
 
Diálisis
DiálisisDiálisis
Diálisis
 
LEAP Final Presentation
LEAP Final PresentationLEAP Final Presentation
LEAP Final Presentation
 
039b - No el odio y las armas, pero el amor triunfará sobre el mundo como Jes...
039b - No el odio y las armas, pero el amor triunfará sobre el mundo como Jes...039b - No el odio y las armas, pero el amor triunfará sobre el mundo como Jes...
039b - No el odio y las armas, pero el amor triunfará sobre el mundo como Jes...
 
Smartphones as ubiquitous devices for behavior analysis and better lifestyle ...
Smartphones as ubiquitous devices for behavior analysis and better lifestyle ...Smartphones as ubiquitous devices for behavior analysis and better lifestyle ...
Smartphones as ubiquitous devices for behavior analysis and better lifestyle ...
 
acoso psicologico en la mujer
acoso psicologico en la mujeracoso psicologico en la mujer
acoso psicologico en la mujer
 
Flying phantom foilingweek2015
Flying phantom foilingweek2015Flying phantom foilingweek2015
Flying phantom foilingweek2015
 
Role of ionic liquid [BMIMPF6] in modifying the
Role of ionic liquid [BMIMPF6] in modifying theRole of ionic liquid [BMIMPF6] in modifying the
Role of ionic liquid [BMIMPF6] in modifying the
 
4 candles
4 candles4 candles
4 candles
 
Social Media for B2B - Social3i - School of Visual Concepts Dec 7 2011
Social Media for B2B - Social3i - School of Visual Concepts Dec 7 2011Social Media for B2B - Social3i - School of Visual Concepts Dec 7 2011
Social Media for B2B - Social3i - School of Visual Concepts Dec 7 2011
 
Creative brief_introduction & templates
Creative brief_introduction & templatesCreative brief_introduction & templates
Creative brief_introduction & templates
 
Oleg Kupreev - 802.11 tricks and threats
Oleg Kupreev - 802.11 tricks and threatsOleg Kupreev - 802.11 tricks and threats
Oleg Kupreev - 802.11 tricks and threats
 
AP Bio Ch 10, part 1
AP Bio Ch 10, part 1AP Bio Ch 10, part 1
AP Bio Ch 10, part 1
 

Similar a Mashing Up Drug Discovery

Practical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS projectPractical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS project
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Exploiting PubChem for Drug Discovery
Exploiting PubChem for Drug DiscoveryExploiting PubChem for Drug Discovery
Exploiting PubChem for Drug Discovery
Sunghwan Kim
 
A_Pope_RQRM_LeadDisc_June_2016
A_Pope_RQRM_LeadDisc_June_2016A_Pope_RQRM_LeadDisc_June_2016
A_Pope_RQRM_LeadDisc_June_2016
Andrew Pope
 
Promiscuous patterns and perils in PubChem and the MLSCN
Promiscuous patterns and perils in PubChem and the MLSCNPromiscuous patterns and perils in PubChem and the MLSCN
Promiscuous patterns and perils in PubChem and the MLSCN
Jeremy Yang
 

Similar a Mashing Up Drug Discovery (20)

Open PHACTS (Sept 2013) EBI Industry Programme
Open PHACTS (Sept 2013) EBI Industry ProgrammeOpen PHACTS (Sept 2013) EBI Industry Programme
Open PHACTS (Sept 2013) EBI Industry Programme
 
Practical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS projectPractical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS project
 
2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG2011-11-28 Open PHACTS at RSC CICAG
2011-11-28 Open PHACTS at RSC CICAG
 
Opening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs apiOpening up pharmacological space, the OPEN PHACTs api
Opening up pharmacological space, the OPEN PHACTs api
 
Bioinformatics t9-t10-biocheminformatics v2014
Bioinformatics t9-t10-biocheminformatics v2014Bioinformatics t9-t10-biocheminformatics v2014
Bioinformatics t9-t10-biocheminformatics v2014
 
2014-03-20 Open PHACTS - A Data Platform for Drug Discovery
2014-03-20 Open PHACTS - A Data Platform for Drug Discovery2014-03-20 Open PHACTS - A Data Platform for Drug Discovery
2014-03-20 Open PHACTS - A Data Platform for Drug Discovery
 
Exploiting PubChem for Drug Discovery
Exploiting PubChem for Drug DiscoveryExploiting PubChem for Drug Discovery
Exploiting PubChem for Drug Discovery
 
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
EDF2014: Paul Groth, Department of Computer Science & The Network Institute, ...
 
Back Rapid lead compounds discovery through high-throughput screening
 Back Rapid lead compounds discovery through high-throughput screening Back Rapid lead compounds discovery through high-throughput screening
Back Rapid lead compounds discovery through high-throughput screening
 
Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation
Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS FoundationPistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation
Pistoia Alliance European Conference 2015 - Nick Lynch / Open PHACTS Foundation
 
Next-Gen Drug Discovery: An Integrated Micro-Droplet Based Platform
Next-Gen Drug Discovery: An Integrated Micro-Droplet Based PlatformNext-Gen Drug Discovery: An Integrated Micro-Droplet Based Platform
Next-Gen Drug Discovery: An Integrated Micro-Droplet Based Platform
 
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
 
2015-05-19 Open PHACTS Drug Discovery Workflow Workshop - The API
2015-05-19 Open PHACTS Drug Discovery Workflow Workshop - The API2015-05-19 Open PHACTS Drug Discovery Workflow Workshop - The API
2015-05-19 Open PHACTS Drug Discovery Workflow Workshop - The API
 
Bioinformatics t9-t10-bio cheminformatics-wimvancriekinge_v2013
Bioinformatics t9-t10-bio cheminformatics-wimvancriekinge_v2013Bioinformatics t9-t10-bio cheminformatics-wimvancriekinge_v2013
Bioinformatics t9-t10-bio cheminformatics-wimvancriekinge_v2013
 
2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge
 
A_Pope_RQRM_LeadDisc_June_2016
A_Pope_RQRM_LeadDisc_June_2016A_Pope_RQRM_LeadDisc_June_2016
A_Pope_RQRM_LeadDisc_June_2016
 
Promiscuous patterns and perils in PubChem and the MLSCN
Promiscuous patterns and perils in PubChem and the MLSCNPromiscuous patterns and perils in PubChem and the MLSCN
Promiscuous patterns and perils in PubChem and the MLSCN
 
Data Integration vs Transparency: Tackling the tension
Data Integration vs Transparency: Tackling the tensionData Integration vs Transparency: Tackling the tension
Data Integration vs Transparency: Tackling the tension
 
Bioinformatica 15-12-2011-t9-t10-bio cheminformatics
Bioinformatica 15-12-2011-t9-t10-bio cheminformaticsBioinformatica 15-12-2011-t9-t10-bio cheminformatics
Bioinformatica 15-12-2011-t9-t10-bio cheminformatics
 
2015-02-10 The Open PHACTS Discovery Platform: Semantic Data Integration for ...
2015-02-10 The Open PHACTS Discovery Platform: Semantic Data Integration for ...2015-02-10 The Open PHACTS Discovery Platform: Semantic Data Integration for ...
2015-02-10 The Open PHACTS Discovery Platform: Semantic Data Integration for ...
 

Más de SciBite Limited

Más de SciBite Limited (8)

Ontologies & Machine Learning v2 - SciBIte Lab Of The Future 2019
Ontologies & Machine Learning v2 - SciBIte Lab Of The Future 2019Ontologies & Machine Learning v2 - SciBIte Lab Of The Future 2019
Ontologies & Machine Learning v2 - SciBIte Lab Of The Future 2019
 
Are Ontologies Relevant In A Machine Learning World?
Are Ontologies Relevant In A Machine Learning World?Are Ontologies Relevant In A Machine Learning World?
Are Ontologies Relevant In A Machine Learning World?
 
SciBite - Role Of Ontologies (Pistoia Alliance Webinar)
SciBite - Role Of Ontologies (Pistoia Alliance Webinar)SciBite - Role Of Ontologies (Pistoia Alliance Webinar)
SciBite - Role Of Ontologies (Pistoia Alliance Webinar)
 
Data: The Good, The Bad & The Ugly
Data: The Good, The Bad & The UglyData: The Good, The Bad & The Ugly
Data: The Good, The Bad & The Ugly
 
Data Integration Score Card
Data Integration Score CardData Integration Score Card
Data Integration Score Card
 
SciBite overview July 2013
SciBite overview July 2013SciBite overview July 2013
SciBite overview July 2013
 
Termite dealing with real world
Termite dealing with real worldTermite dealing with real world
Termite dealing with real world
 
Scibite flyer 2013
Scibite flyer 2013Scibite flyer 2013
Scibite flyer 2013
 

Último

Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Dipal Arora
 

Último (20)

Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
 
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
 
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
 
Call Girls Gwalior Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Visakhapatnam Just Call 9907093804 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 9907093804 Top Class Call Girl Service Ava...Call Girls Visakhapatnam Just Call 9907093804 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 9907093804 Top Class Call Girl Service Ava...
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
 
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
 
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
 
Call Girls Bareilly Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Bareilly Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 8250077686 Top Class Call Girl Service Available
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
 
Call Girls Kochi Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kochi Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Kochi Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kochi Just Call 8250077686 Top Class Call Girl Service Available
 

Mashing Up Drug Discovery

  • 1. Mashing Up Drug Discovery There’s an API for that…. Lee Harland July 2013 Open PHACTS http://openphacts.org SciBite http://scibite.com ConnectedDiscovery http://connecteddiscovery.com @Scibitely
  • 2. What does an Application Program Interface look like?
  • 3.
  • 5.
  • 6.
  • 7. Are There Any Bio/Chem/Med? http://programmableweb.com/
  • 8. Good Examples NLM/NCBI/PubChem - http://www.ncbi.nlm.nih.gov/ EBI (inc ChEMBL,ChEBI etc) – http://ebi.ac.uk NCI Cactus - http://cactus.nci.nih.gov/ ChemSpider - http://www.chemspider.com/ ChemAxon – e.g. Chemicalize http://www.chemicalize.org/ OpenTox - http://www.opentox.org/dev/apis/api- 1.2/structure Altmetric & ImpactStory .. Many more web services out there…
  • 9. vs
  • 12.
  • 13. Free patent chemistry searching for all Early access to newly published structures Easy navigation through the relevant chemistry in the full text of patent documents Search, View, Print Links to ChemSpider and RSC journals A free viewer for SureChemDirect users Secured by 128-bit encryption providing same level of security as online banking and other proprietary chemistry searching tools! SureChemOpen
  • 14. SureChemDirect  Direct access to chemistry & full text patent data  Data and search hosted on SureChem AWS instance  Dedicated AWS instances available  Secure https line, 128-bit encryption  Next day indexing of chemistry  Integration with internal databases and workflow tools (SharePoint, Seurat, SpotFire etc)  Rapid deployment using Pipeline Pilot package  Easy manipulation of large volumes of patent chemistry  Full support and documentation  http://docs.surechem.com/direct/  Direct access to chemistry & patent metadata in csv format  Access via secure ftp  Batch screening & analysis behind your firewall  Daily updates API Data Feed
  • 15. Drug Discovery, Right Now. 2. SciBite
  • 16. Therapeutic Intelligence I care about asthma. What does the current landscape of (Drugs, Targets, Companies , Trials, Collaborations…) look like?
  • 17. Where does TI come from?
  • 19.
  • 20. Slice & Dice With The API
  • 24. Open PHACTS Project Partners Pfizer Limited – Coordinator Universität Wien – Managing entity Technical University of Denmark University of Hamburg, Center for Bioinformatics BioSolveIT GmBH Consorci Mar Parc de Salut de Barcelona Leiden University Medical Centre Royal Society of Chemistry Vrije Universiteit Amsterdam Spanish National Cancer Research Centre University of Manchester Maastricht University Aqnowledge University of Santiago de Compostela Rheinische Friedrich-Wilhelms-Universität Bonn AstraZeneca GlaxoSmithKline Esteve Novartis Merck Serono H. Lundbeck A/S Eli Lilly Netherlands Bioinformatics Centre Swiss Institute of Bioinformatics ConnectedDiscovery EMBL-European Bioinformatics Institute Janssen OpenLink pmu@openphacts.org
  • 25. ChEMBL DrugBank Gene Ontology Wikipathways UniProt ChemSpider UMLS ConceptWiki ChEBI TrialTrove GVKBio GeneGo TR Integrity “Find me compounds that inhibit targets in NFkB pathway assayed in only functional assays with a potency <1 μM” “What is the selectivity profile of known p38 inhibitors?” “Let me compare MW, logP and PSA for known oxidoreductase inhibitors” It *Should* be easy to ask…
  • 26. Number sum Nr of 1 Question 15 12 9 All oxidoreductase inhibitors active <100nM in both human and mouse 18 14 8 Given compound X, what is its predicted secondary pharmacology? What are the on and off,target safety concerns for a compound? What is the evidence and how reliable is that evidence (journal impact factor, KOL) for findings associated with a compound? 24 13 8 Given a target find me all actives against that target. Find/predict polypharmacology of actives. Determine ADMET profile of actives. 32 13 8 For a given interaction profile, give me compounds similar to it. 37 13 8 The current Factor Xa lead series is characterised by substructure X. Retrieve all bioactivity data in serine protease assays for molecules that contain substructure X. 38 13 8 Retrieve all experimental and clinical data for a given list of compounds defined by their chemical structure (with options to match stereochemistry or not). 41 13 8 A project is considering Protein Kinase C Alpha (PRKCA) as a target. What are all the compounds known to modulate the target directly? What are the compounds that may modulate the target directly? i.e. return all cmpds active in assays where the resolution is at least at the level of the target family (i.e. PKC) both from structured assay databases and the literature. 44 13 8 Give me all active compounds on a given target with the relevant assay data 46 13 8 Give me the compound(s) which hit most specifically the multiple targets in a given pathway (disease) 59 14 8 Identify all known protein-protein interaction inhibitors … paper coming very soon in DDT Business Question Driven Approach
  • 27. • Chemical Registration System • Utilizes ChemSpider Validation and Standardization platform including collapsing tautomers • Utilizes FDA rule set as basis for standardization (GSK lead) • All molecules get a CVSP report – helps us biologists!
  • 33. Workflow Tools + Google Refine, Helium For Excel, Taverna
  • 34. Anyone can now ask…  Who’s working on what targets for what indications?  What chemical matter has been tested against those targets?  What does that chemical space look like?  Whats been patented in that area?  What other targets do those compounds hit?  Who’s working on those targets for what indications…?
  • 35. Security? Is something wrong? Nope Are you sure? Yeah. Why do you ask?
  • 36. Security: Still A Concern For Some  But more companies moving to cloud externalisation  Starting to see emergence of security principles (Pistoia, Open PHACTS)  VM’s (local, remote)  Clever workflows  Will opportunity overtake fear?
  • 37. Conclusions  Accessible API’s increasing  Let people explore, they’ll find new use cases  Can’t build a big interface on big data  Usability, Discovery & Security key challenges Acknowledgements  SureChem Limited: http://surechem.com  SciBite Limited: http://scibite.com  Open PHACTS Consortium: http://openphacts.org | http://dev.openphacts.org | http://explorer.openphacts.org

Notas del editor

  1. Search for Torsten and Syngenta
  2. Mx/psa, how calculated who did it?Mash up. With your data too,- top layer join together but need them allcommerical
  3. 10Can go get everythingOPS not a repo of the world, specific sources
  4. Big pharma will never go for it… lets see