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Big data perspectives on building
open semantic data services for life
sciences
Open PHACTS Foundation
bryn@openphactsfoundation.org
Why is it so hard to….
Competitors?
What’s the
structure?
Are they in our
file?
What’s
similar?
What’s the
target?Pharmacology
data?
Known
Pathways?
Working On
Now?
Connections to
disease?
Expressed in right
cell type?
IP?
Public Domain Drug Discovery Data
Literature
PubChem
Genbank
Patents
Databases
Downloads
Data Analysis Data Integration Firewalled Databases
Public Domain Drug Discovery Data
- The Current Situation
Pfizer
AZ
Roche
n
Open PHACTS Mission:
Integrate Multiple Research
Biomedical Data Resources
Into A Single Open & Free
Access Point
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”
DisGeNet
neXtProt
ChEMBL
Target Class
ENZYME
FDA adverse
events
SureChEMBL
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
http://dx.doi.org/10.1016/j.websem.2014.03.003
The Open PHACTS Discovery Platform
• Cloud-Based
“Production” Level
System. Secure & Private
• Guided By Business
Questions
• Uses Semantic Web
Technology But provides
a simple REST-ful API for
everyone else
http://dx.doi.org/10.1016/j.drudis.2013.05.008
P12047
X31045
GB:29384
Names and standards in biomedical science
Basic Semantic web standards
– SPARQL 1.1, RDF(S), SKOS
Dataset descriptions
– Vocabulary of Interlinked Datasets (VoID)
– VoID linkset descriptions
QUDT Quantities, Units, Dimensions and
Types
Provenance
– W3C PROV, PAV, Nanopublications
BioPortal, ConceptWiki, ChEMBL,
identifiers.org, Uniprot, ChemSpider
http://imgs.xkcd.com/comics/standards.png
Why is it so hard to….
Competitors?
What’s the
structure?
Are they in our
file?
What’s
similar?
What’s the
target?Pharmacology
data?
Known
Pathways?
Working On
Now?
Connections to
disease?
Expressed in right
cell type?
IP?
Information/Data Tombs...
Internal and external
Built to manage content
Built to meet primary use-case
Tailored indexes
Tailored GUIs
Unique language & metadata
Poor interoperability/integration
Proliferation of PowerPoint, Documents, excel, etc.
Many suppliers of systems and content in a single
workflow
Literature Patents NewsPipeline SAR CSRs SafetyIn vivo Etc
Literature Patents NewsPipeline SAR CSRs SafetyIn vivo Etc
Rapidly Evolving Pharmaceutical Ecosystem
Proprietary
content
providerPublic
content
provider
Academic
group
Software vendor
CRO
Service provider
Regulatory
authorities
Pharma
Patient
organization
Big Life
Science
Company
The data world is changing fast
The Standards Value Chain is disconnected…
Phase IIIPhase IIPhase ILead OptLead IDHit IDTarget ID
COSTARTUMLS
MedRA
ICD9 to ICD10
Snomed-
CT
Not meant to be exhaustive !!!
Bioscience and the 4Vs of big data
Big
Data
Variety
Velocity
Volume
Veracity
info@openphactsfoundation.org @Open_PHACTS
Open PHACTS Practical Semantics
Acknowledgements
GlaxoSmithKline – 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
Novartis
Merck Serono
H. Lundbeck A/S
Eli Lilly
Netherlands Bioinformatics Centre
Swiss Institute of Bioinformatics
ConnectedDiscovery
EMBL-European Bioinformatics Institute
Janssen Esteve Almirall
OpenLink Scibite
The Open PHACTS Foundation
Spanish National Cancer Research Centre
University of Manchester
Maastricht University
Aqnowledge
University of Santiago de Compostela
Rheinische Friedrich-Wilhelms-Universität
Bonn
AstraZeneca
Pfizer

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Open PHACTS for BDE SC1.1

  • 1. Big data perspectives on building open semantic data services for life sciences Open PHACTS Foundation bryn@openphactsfoundation.org
  • 2. Why is it so hard to…. Competitors? What’s the structure? Are they in our file? What’s similar? What’s the target?Pharmacology data? Known Pathways? Working On Now? Connections to disease? Expressed in right cell type? IP?
  • 3. Public Domain Drug Discovery Data Literature PubChem Genbank Patents Databases Downloads Data Analysis Data Integration Firewalled Databases
  • 4. Public Domain Drug Discovery Data - The Current Situation Pfizer AZ Roche n
  • 5. Open PHACTS Mission: Integrate Multiple Research Biomedical Data Resources Into A Single Open & Free Access Point
  • 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” DisGeNet neXtProt ChEMBL Target Class ENZYME FDA adverse events SureChEMBL
  • 7. 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
  • 8. http://dx.doi.org/10.1016/j.websem.2014.03.003 The Open PHACTS Discovery Platform • Cloud-Based “Production” Level System. Secure & Private • Guided By Business Questions • Uses Semantic Web Technology But provides a simple REST-ful API for everyone else http://dx.doi.org/10.1016/j.drudis.2013.05.008
  • 10. Basic Semantic web standards – SPARQL 1.1, RDF(S), SKOS Dataset descriptions – Vocabulary of Interlinked Datasets (VoID) – VoID linkset descriptions QUDT Quantities, Units, Dimensions and Types Provenance – W3C PROV, PAV, Nanopublications BioPortal, ConceptWiki, ChEMBL, identifiers.org, Uniprot, ChemSpider http://imgs.xkcd.com/comics/standards.png
  • 11. Why is it so hard to…. Competitors? What’s the structure? Are they in our file? What’s similar? What’s the target?Pharmacology data? Known Pathways? Working On Now? Connections to disease? Expressed in right cell type? IP?
  • 12. Information/Data Tombs... Internal and external Built to manage content Built to meet primary use-case Tailored indexes Tailored GUIs Unique language & metadata Poor interoperability/integration Proliferation of PowerPoint, Documents, excel, etc. Many suppliers of systems and content in a single workflow Literature Patents NewsPipeline SAR CSRs SafetyIn vivo Etc
  • 13.
  • 14. Literature Patents NewsPipeline SAR CSRs SafetyIn vivo Etc
  • 15. Rapidly Evolving Pharmaceutical Ecosystem Proprietary content providerPublic content provider Academic group Software vendor CRO Service provider Regulatory authorities Pharma Patient organization Big Life Science Company
  • 16. The data world is changing fast
  • 17. The Standards Value Chain is disconnected… Phase IIIPhase IIPhase ILead OptLead IDHit IDTarget ID COSTARTUMLS MedRA ICD9 to ICD10 Snomed- CT Not meant to be exhaustive !!!
  • 18. Bioscience and the 4Vs of big data Big Data Variety Velocity Volume Veracity
  • 19. info@openphactsfoundation.org @Open_PHACTS Open PHACTS Practical Semantics Acknowledgements GlaxoSmithKline – 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 Novartis Merck Serono H. Lundbeck A/S Eli Lilly Netherlands Bioinformatics Centre Swiss Institute of Bioinformatics ConnectedDiscovery EMBL-European Bioinformatics Institute Janssen Esteve Almirall OpenLink Scibite The Open PHACTS Foundation Spanish National Cancer Research Centre University of Manchester Maastricht University Aqnowledge University of Santiago de Compostela Rheinische Friedrich-Wilhelms-Universität Bonn AstraZeneca Pfizer

Hinweis der Redaktion

  1. 6
  2. Its about enabling the community too
  3. Why are these there? What is inside? Who built them? How can I see what is inside? What can I learn?
  4. NEED BD2K here too