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pistoiaalliance.org
Ramesh Durvasula, Ph.D.Communications Officer, Pistoia AllianceDirector, Chemistry Informatics, BMS
BioIT World 2010
The Pistoia Alliance
A Construct for Pre-competitive Collaboration and Open Innovation
Agenda
• Origins of Pistoia– History– Industry Drivers– Technology Trends
• Scope and Operations of Pistoia– Mission, Membership, Governance– Projects and Deliverables
• Discussion
Industry Driver: Externalization
DA
TA C
RO
BIO
CR
OC
HE
M C
RO
PHA
RM
ASelectivelyIntegrated
Model
Fully InternalModel
Cost pressures, disruptive technologies, and other forces often drive business processes to be externalized.
Emerging Net-centric PharmaProcesses
PHARMA1
CRO2
CRO1
CRO3
PHARMA2
PHARMA3
CRO4
Inconsistent Semantics degrade Effective Communication
A
B
C
The result from our proprietary assay is “B”
But we only record numbers in our assays!!
PHARMA
CRO
Image/quote from Abdul-Malik Shakir
Greater Challenge: Unknown Semantic Collisions
Revealing assumptions is an essential component of effective communication.
Opportunity: Changing Tech Landscape
More Robust Technologies• Web 2.0 / 3.0• Services-Oriented Architecture• Software-as-a-Service• Open Source Initiatives
More Robust External Content• Publicly available chem and bio sources• Richer literature content• Academic Sources of Tools and Data
The Path Forward:Standardize, Simplify, Centralize
• Standardize our interfaces and messages
• Simplify our cross-industry architectures and support models
• Centralize services to reap economies of scale and scope
Background—How it all started
• In Pistoia, Italy
• Meeting of GSK, AZ, Pfizer and Novartis—identified similar challenges and frustrations in discovery informatics
9
Pistoia Mission
• The Mission– Pistoia will standardize and streamline data
interchange in life science R&D.• The Method
– Precompetitive collaboration between life science, academia, and commercial partners.
• The Result– Standardization will drive down the cost of data
exchange, cloud computing, and process outsourcing.• The Benefit
– Informatics organizations can streamline commodity services, and focus investment on innovation in R&D.
Benefits of Pistoia
• R&D Organizations– Optimized investments
• e.g. reduction of redundant investments across industry– Increased agility to leverage global R&D
• Rapid integration, streamlined data interchange and analysis
• Informatics Solution Providers– New markets and business models– Reduced cost-of-entry to markets– Reduction of customized solutions, leading to
higher margins
Pistoia Membership
updated: April 2010
Pre-competitive Space in the Technology Lifecycle
Precompetitive SpaceOpportunities for Standards
Legacy
Commodity
Mainstream
Innovation
Experiment
Crossing the Chasm
• Pistoia is the BRIDGE to cross the chasm to a more agile pre-competitive environment
STANDARDIZE SIMPLIFY CENTRALIZE
PISTOIA MEMBERS SUPPLIERS
Learn from Other Industries
Transportation
Geospatial
Automotive
ClinicalRetail
Banking
Healthcare
16
Phase III
Scope of Pistoia Efforts
Phase ILead OptLead IDHit IDTarget ID
Which Target? Which Compound?Which Disease?What Biomarkers?
Disease AssociationBioprocess AssocDruggability‘On Target’ Safety RiskValidation ToolsCompetitive PositionVariant Selection…
DMPK Properties?BioAssay DevelopmentActivity-Dose studies?‘Off Target’ Safety Risk?Synthesis routes?Competitive Position?…
CD positioning?Safety Biomarkers?Efficacy Biomarkers?…
Genome/Genetic Data
Sequence Data
Expression Data
Genome/Genetic Data
Pathway Data
Patent Data
Pharmacology Data
Literature Data
Structural Data
Phase II
17
Pistoia Standards Process
Technical & Standards Teams
Governance & Strategy Board
Operational Team
Life ScienceCommunity
Governance & Operations
Software and Service Providers
Pharma/BioTech/Agro
Not for Profit (e.g. IMI, EBI)
propose,comment
publish
coordinate
Pistoia Working Groups
Current, Active Pistoia Projects
• Semantic Enrichment of Scientific Literature– An open knowledge brokering framework standard which will
reduce the costs of integration from disparate sources.
• Sequence Services– A standard service to provide access to public, private &
commercial data & tools, that will enable scientists to search, store & analyse all their sequence based data in a single web interface.
• ELN Query Service– A query service standard applicable for use with data types
commonly found in electronic lab notebooks
Assertion & Meta Data MgmtTransform / TranslateIntegrator
Service Layer
Corpus 1
ConsumerFirewall
SupplierFirewall
Proprietary Service Broker
MultipleConsumers
SESL: Biomedical Knowledge Service Framework
Db 2
Db 3
Db 4
Corpus 5
Std PublicVocabularies
KnowledgeApplications
TargetDossier
CompoundDossier
DiseaseDossier
ContentSuppliers
Effort required to fit DBs to service layer
BusinessRules
NetworkViz
OpenStds
Common Service Broker
A Production SESL Service
Broker Org #4Broker Org #3Broker Org #2
Corpus 1
ConsumerSide
SupplierSide
Db 2
Assertion & Meta Data Mgmt
Transform / Translate
Integrator
Service Layer Std PublicVocabularies
BusinessRules
Assertion & Meta Data Mgmt
Transform / Translate
Integrator
Service Layer Std PublicVocabularies
BusinessRules
Assertion & Meta Data Mgmt
Transform / Translate
Integrator
Service Layer Std PublicVocabularies
BusinessRules
Assertion & Meta Data Mgmt
Transform / Translate
Integrator
Service Layer Std PublicVocabularies
BusinessRules
Broker Org #1
Db 3
Corpus 4
Corpus 5
Db 6
Db 7
Corpus 8
Corpus 9
Db 10
Db 11
Corpus 12
Corpus 13
Db 14
Db 15
Corpus 16
Disease Dossier
License
Exemplar Application
SESL Mock Up Slide 1
Gene:
Disease: Relationship:
Constraint:
abcAnyDiabetesSpecies: AnyTissue: Any
abc1Gene R’ship Disease
Co-occursSpecies
Diabetes MusEvidencePaper UID:1234
abc1 Up-Reg Diabetes Homo ArrayExpress: XXXabc2 Co-occurs Diabetes Homoabc13 Co-occurs Diabetes Musabc7 Mutation Diabetes Rattusabc1 Co-occurs Diabetes Musabc1 Co-occurs Diabetes Homo
Paper UID:1344Paper UID:1314OMIMI: XXXPaper UID:45643Paper UID:2143
Export to Network View Pivot on Assertion
1234567
abc1 Co-occurs Diabetes Mus Paper UID:12048
SESL Mock Up Slide 2
abc1Gene R’ship Disease
Co-occursSpecies
Diabetes MusSupporting Evidence3
abc7 Mutation Diabetes Rattus 1
Export to Network View Return
1
abc1 Up-Reg Diabetes Homo 13abc1 Co-occurs Diabetes Homo 12
4
abc2 Co-occurs Diabetes Rattus 1abc13 Co-occurs Diabetes Mus 15
6
SESL Mock Up Slide 3
Current SESL Participants
AstraZeneca FundingGSK FundingRoche FundingPfizer FundingUnilever FTEsEuropean Bioinformatics Institute FTEs & HostingOxford University Press ContentNature Publishing Group ContentElsevier ContentRoyal Society of Chemistry Content
If you want to go fast, go alone. If you want to go far, go together.
www.pistoiaalliance.org
Backup Slides
Where We Are
Who we Are: Board of Directors
GSKAZNovartisPfizerLundbeckBMSRoche
AccelrysChemAxonSymyxCambridgeSoftInfosysThomson Reuters
Pistoia Membership Levels
• Core Member ($15,000)– Those organisations wishing to strongly influence the strategy &
direction of the Alliance– Have a majority on the Governance & Strategy Board– Pharma, Life Science, Chemicals/Biologics primary business focus
• Participating Member ($10,000)– Those wishing to influence the technical outcomes– Access to Governance & Strategy Board member openings– Technical & Standards Team voting
• Contributing Member (free)– Technical & Standards Team voting member– Working Group participation – Offer opinions on technical issues
Based around the experiences of: http://www.consortiuminfo.org/