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A Data Platform for Drug Discovery
Paul Groth (@pgroth)
http://www.few.vu.nl/~pgroth
1. WHY
2. THE PLATFORM
3. APPS
4. THE FUTURE
Pre-competitive Informatics:
Pharma are all accessing, processing, storing & re-processing external research data
Literature
PubChem
Genbank
Patents
Databases
Downloads
Data Integration Data Analysis
Firewalled Databases
Repeat @
each
company
x
Lowering industry firewalls: pre-competitive informatics in drug discovery
Nature Reviews Drug Discovery (2009) 8, 701-708 doi:10.1038/nrd2944
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
Business Question Driven Approach
http://www.sciencedirect.com/science/article/pii/S1359644613001542
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”
THE OPEN PHACTS
DISCOVERY PLATFORM
Nanopub
Db
VoID
Data Cache
(Virtuoso Triple Store)
Semantic Workflow Engine
Linked Data API (RDF/XML, TTL, JSON)
Domain
Specific
Services
Identity
Resolution
Service
Chemistry
Registration
Normalisation
& Q/C
Identifier
Management
Service
Indexing
CorePlatform
P12374
EC2.43.4
CS4532
“Adenosine
receptor 2a”
VoID
Db
Nanopub
Db
VoID
Db
VoID
Nanopub
VoID
Public Content Commercial
Public
Ontologies
User
Annotations
Apps
Data Sources Compound
Disease
(in testing)
PathwayTarget ✔
✔
✔
Play! https://dev.openphacts.org/
Secure Cloud Hosted + Virtualized
Triple Store
- Virtuoso 7 column store
- Scale to > 100 billion triples
Network
- AMX-IS
- Extensive memcache
- Monitored
Hardware (development)
- 2 x Intel Xeon E5-2640 
- 384 GB
DDR3 1333MHz RAM
- 1.5 TB
SSD 
- 3TB 7200rpm
Dealing With The Really Tough Parts
John
Wilbanks
http://del-fi.org/
Data Licensing
Provenance
everywhere
Its easy to integrate, difficult to integrate well:
PubChemDrugbankChemSpider
Imatinib
Mesylate
What Is Gleevec?
Strict Relaxed
Analysing Browsing
Dynamic Equality
LinkSet#1 {
chemspider:gleevec hasParent imatinib ...
drugbank:gleevec exactMatch imatinib ...
}
chemspider:gleevec drugbank:gleevec
APPS
API Hits (April 2013 – March 2014)
http://explorer.openphacts.org
ChemBioNavigtor
1 March 2013 Open PHACTS Tech Talk @ CSHALS2013 22
THE FUTURE
App
Developers
Data
Providers
Pharma
Companies
Academic
Research
Next Gen
IT
Life
Science
Companies
Connecting
Communities
Sustaining Impact
“Software is free like
puppies are free -
they both need
money for
maintenance”
…and more resource
for future
development
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 @Open_PHACTS Open PHACTS
Backup
Present Content
hTRPV1  2328 ligands from Open PHACTS
HEK293
capsaicin
http://www.openphacts.org
TRPV1
A Data Platform for Drug Discovery Insights

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A Data Platform for Drug Discovery Insights

  • 1. A Data Platform for Drug Discovery Paul Groth (@pgroth) http://www.few.vu.nl/~pgroth
  • 2. 1. WHY 2. THE PLATFORM 3. APPS 4. THE FUTURE
  • 3.
  • 4. Pre-competitive Informatics: Pharma are all accessing, processing, storing & re-processing external research data Literature PubChem Genbank Patents Databases Downloads Data Integration Data Analysis Firewalled Databases Repeat @ each company x Lowering industry firewalls: pre-competitive informatics in drug discovery Nature Reviews Drug Discovery (2009) 8, 701-708 doi:10.1038/nrd2944
  • 5. 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 Business Question Driven Approach http://www.sciencedirect.com/science/article/pii/S1359644613001542
  • 6. 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”
  • 7.
  • 9. Nanopub Db VoID Data Cache (Virtuoso Triple Store) Semantic Workflow Engine Linked Data API (RDF/XML, TTL, JSON) Domain Specific Services Identity Resolution Service Chemistry Registration Normalisation & Q/C Identifier Management Service Indexing CorePlatform P12374 EC2.43.4 CS4532 “Adenosine receptor 2a” VoID Db Nanopub Db VoID Db VoID Nanopub VoID Public Content Commercial Public Ontologies User Annotations Apps
  • 10. Data Sources Compound Disease (in testing) PathwayTarget ✔ ✔ ✔
  • 12. Secure Cloud Hosted + Virtualized Triple Store - Virtuoso 7 column store - Scale to > 100 billion triples Network - AMX-IS - Extensive memcache - Monitored Hardware (development) - 2 x Intel Xeon E5-2640 
- 384 GB DDR3 1333MHz RAM
- 1.5 TB SSD 
- 3TB 7200rpm
  • 13. Dealing With The Really Tough Parts John Wilbanks http://del-fi.org/ Data Licensing
  • 15. Its easy to integrate, difficult to integrate well:
  • 17. Strict Relaxed Analysing Browsing Dynamic Equality LinkSet#1 { chemspider:gleevec hasParent imatinib ... drugbank:gleevec exactMatch imatinib ... } chemspider:gleevec drugbank:gleevec
  • 18. APPS
  • 19. API Hits (April 2013 – March 2014)
  • 20.
  • 22. ChemBioNavigtor 1 March 2013 Open PHACTS Tech Talk @ CSHALS2013 22
  • 23.
  • 24.
  • 27. Sustaining Impact “Software is free like puppies are free - they both need money for maintenance” …and more resource for future development
  • 28.
  • 29. 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 @Open_PHACTS Open PHACTS
  • 32. hTRPV1  2328 ligands from Open PHACTS HEK293 capsaicin http://www.openphacts.org TRPV1

Notas del editor

  1. 10Can go get everythingOPS not a repo of the world, specific sources
  2. Statistics to be added
  3. MOE: Molecular Operating Environment http://www.chemcomp.com