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The Pistoia
                             Alliance
                                                pistoiaalliance.org




  A Construct for Pre-competitive
  Collaboration and Open Innovation
     Ramesh Durvasula, Ph.D.
     Communications Officer, Pistoia Alliance
     Director, Chemistry Informatics, BMS


BioIT World
2010
Agenda

• Origins of Pistoia
  – History
  – Industry Drivers
  – Technology Trends
• Scope and Operations of Pistoia
  – Mission, Membership, Governance
  – Projects and Deliverables
• Discussion
Industry Driver: Externalization
Cost pressures, disruptive technologies, and other forces
often drive business processes to be externalized.

    Fully Internal
        Model


     Selectively
                     PHARMA




     Integrated
                     CHEM CRO




       Model
                     BIO CRO
                     DATA CRO
Emerging Net-centric Pharma
Processes

   PHARMA              CRO
      1                 1

   PHARMA              CRO
      2                 2

   PHARMA              CRO
      3                 3

                       CRO
                        4
Inconsistent Semantics degrade
Effective Communication
                 C

                 B

                 A


         The result from our
       proprietary assay is “B”

CRO
         But we only record numbers
               in our assays!!
                                      PHARMA
Greater Challenge: Unknown Semantic
 Collisions




Image/quote from Abdul-Malik Shakir

                                      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

  Experiment
  Innovation
 Mainstream           Precompetitive Space
                    Opportunities for Standards
  Commodity
    Legacy
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
Banking

Retail                    Clinical


Automotive
                        Healthcare
Scope of Pistoia Efforts

   Target ID        Hit ID          Lead ID             Lead Opt     Phase I      Phase II    Phase III

                                                           Which Disease?
   Which Target?              Which Compound?
                                                           What Biomarkers?
    Disease Association       DMPK Properties?             CD positioning?
    Bioprocess Assoc          BioAssay Development         Safety Biomarkers?
    Druggability              Activity-Dose studies?       Efficacy Biomarkers?
    ‘On Target’ Safety Risk   ‘Off Target’ Safety Risk?    …
    Validation Tools          Synthesis routes?
    Competitive Position      Competitive Position?
    Variant Selection         …
    …

   Genome/Genetic Data                                                  Genome/Genetic Data

      Sequence Data
      Expression Data            Structural Data
                                  Pathway Data
                      Patent Data
                 Pharmacology Data
                                               Literature Data
                                                   16
Pistoia Standards Process

Governance &     Pistoia Working               Life Science
Operations           Groups                    Community

Governance                                      Software and
& Strategy                                      Service
Board                                           Providers
                                    propose,
                  Technical &       comment
                  Standards                     Pharma/
Operational       Teams                         BioTech/Agro
Team                               publish

                                                Not for
          coordinate                            Profit
                                                (e.g. IMI, EBI)
                                                                  17
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
SESL: Biomedical Knowledge Service
  Framework
                                                                     Multiple
                                                                     Consumers

              Target           Compound    Disease         Network   Knowledge
              Dossier          Dossier     Dossier           Viz     Applications


         Service Layer                                Std Public     Common
                                                                     Proprietary
Open     Assertion & Meta Data Mgmt                  Vocabularies    Service
                                                                     Service
Stds     Transform / Translate                        Business       Broker
                                                                     Broker
Consumer Integrator                                     Rules
Firewall

Supplier                                                               Content
Firewall                                                               Suppliers
                        Db 2
                                                                        Effort required
                                           Db 4                         to fit DBs to
           Corpus 1                                                     service layer
                                    Db 3               Corpus 5
A Production SESL Service
Consumer                                                                                                                                                  Exemplar
                                                                      Disease Dossier
Side                                                                                                                                                      Application
                License
Service Layer                   Std Public     Service Layer                   Std Public    Service Layer                 Std Public     Service Layer                    Std Public
                               Vocabularies                                   Vocabularies                                Vocabularies                                    Vocabularies
Assertion & Meta Data Mgmt                     Assertion & Meta Data Mgmt                    Assertion & Meta Data Mgmt                   Assertion & Meta Data Mgmt
Transform / Translate          Business        Transform / Translate          Business       Transform / Translate           Business     Transform / Translate           Business
                                Rules                                          Rules                                          Rules                                        Rules
 Integrator                                    Integrator                                    Integrator                                   Integrator

       Broker Org #1                                 Broker Org #2                                 Broker Org #3                                Broker Org #4




Corpus 1                Db 3                  Corpus 5                 Db 7                  Corpus 9                Db 11                Corpus 13               Db 15

                                Corpus 4                                      Corpus 8                                        Corpus 12                                    Corpus 16
                Db 2                                           Db 6                                          Db 10                                        Db 14

Supplier
Side
SESL Mock Up Slide 1




          Gene: abc
    Relationship: Any
       Disease: Diabetes
     Constraint: Species: Any
                  Tissue: Any
SESL Mock Up Slide 2


                                  Export to Network View
                                  Pivot on Assertion
    Gene R’ship     Disease Species Evidence
  1 abc1  Co-occurs Diabetes Mus     Paper UID:1234
  2 abc1  Up-Reg Diabetes Homo ArrayExpress: XXX
  3 abc2  Co-occurs Diabetes Homo Paper UID:1344
  4 abc13 Co-occurs Diabetes Mus     Paper UID:1314
  5 abc7  Mutation Diabetes Rattus OMIMI: XXX
  6 abc1  Co-occurs Diabetes Mus     Paper UID:45643
  7 abc1  Co-occurs Diabetes Homo Paper UID:2143
  8 abc1  Co-occurs Diabetes Mus     Paper UID:1204
SESL Mock Up Slide 3


                                  Export to Network View
                                  Return
    Gene R’ship     Disease Species Supporting Evidence
  1 abc1  Co-occurs Diabetes Mus    3
  2 abc1  Co-occurs Diabetes Homo 1
  3 abc1  Up-Reg Diabetes Homo 1
  4 abc7  Mutation Diabetes Rattus 1
  5 abc13 Co-occurs Diabetes Mus    1
  6 abc2  Co-occurs Diabetes Rattus 1
Current SESL Participants

AstraZeneca                         Funding
GSK                                 Funding
Roche                               Funding
Pfizer                              Funding
Unilever                            FTEs
European Bioinformatics Institute   FTEs & Hosting
Oxford University Press             Content
Nature Publishing Group             Content
Elsevier                            Content
Royal Society of Chemistry          Content
www.pistoiaalliance.org




If you want to go fast, go alone.
If you want to go far, go together.
Backup Slides
Where We Are
Who we Are: Board of Directors

GSK             Accelrys
AZ              ChemAxon
Novartis        Symyx
Pfizer          CambridgeSoft
Lundbeck        Infosys
BMS             Thomson Reuters
Roche
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/

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Pistoia Alliance: A Construct for Pre-competitive Collaboration and Open Innovation

  • 1. The Pistoia Alliance pistoiaalliance.org A Construct for Pre-competitive Collaboration and Open Innovation Ramesh Durvasula, Ph.D. Communications Officer, Pistoia Alliance Director, Chemistry Informatics, BMS BioIT World 2010
  • 2. Agenda • Origins of Pistoia – History – Industry Drivers – Technology Trends • Scope and Operations of Pistoia – Mission, Membership, Governance – Projects and Deliverables • Discussion
  • 3. Industry Driver: Externalization Cost pressures, disruptive technologies, and other forces often drive business processes to be externalized. Fully Internal Model Selectively PHARMA Integrated CHEM CRO Model BIO CRO DATA CRO
  • 4. Emerging Net-centric Pharma Processes PHARMA CRO 1 1 PHARMA CRO 2 2 PHARMA CRO 3 3 CRO 4
  • 5. Inconsistent Semantics degrade Effective Communication C B A The result from our proprietary assay is “B” CRO But we only record numbers in our assays!! PHARMA
  • 6. Greater Challenge: Unknown Semantic Collisions Image/quote from Abdul-Malik Shakir Revealing assumptions is an essential component of effective communication.
  • 7. 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
  • 8. 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
  • 9. Background—How it all started • In Pistoia, Italy • Meeting of GSK, AZ, Pfizer and Novartis— identified similar challenges and frustrations in discovery informatics 9
  • 10. 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.
  • 11. 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
  • 12. Pistoia Membership updated: April 2010
  • 13. Pre-competitive Space in the Technology Lifecycle Experiment Innovation Mainstream Precompetitive Space Opportunities for Standards Commodity Legacy
  • 14. Crossing the Chasm • Pistoia is the BRIDGE to cross the chasm to a more agile pre-competitive environment STANDARDIZE SIMPLIFY CENTRALIZE PISTOIA MEMBERS SUPPLIERS
  • 15. Learn from Other Industries Transportation Geospatial Banking Retail Clinical Automotive Healthcare
  • 16. Scope of Pistoia Efforts Target ID Hit ID Lead ID Lead Opt Phase I Phase II Phase III Which Disease? Which Target? Which Compound? What Biomarkers? Disease Association DMPK Properties? CD positioning? Bioprocess Assoc BioAssay Development Safety Biomarkers? Druggability Activity-Dose studies? Efficacy Biomarkers? ‘On Target’ Safety Risk ‘Off Target’ Safety Risk? … Validation Tools Synthesis routes? Competitive Position Competitive Position? Variant Selection … … Genome/Genetic Data Genome/Genetic Data Sequence Data Expression Data Structural Data Pathway Data Patent Data Pharmacology Data Literature Data 16
  • 17. Pistoia Standards Process Governance & Pistoia Working Life Science Operations Groups Community Governance Software and & Strategy Service Board Providers propose, Technical & comment Standards Pharma/ Operational Teams BioTech/Agro Team publish Not for coordinate Profit (e.g. IMI, EBI) 17
  • 18. 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
  • 19. SESL: Biomedical Knowledge Service Framework Multiple Consumers Target Compound Disease Network Knowledge Dossier Dossier Dossier Viz Applications Service Layer Std Public Common Proprietary Open Assertion & Meta Data Mgmt Vocabularies Service Service Stds Transform / Translate Business Broker Broker Consumer Integrator Rules Firewall Supplier Content Firewall Suppliers Db 2 Effort required Db 4 to fit DBs to Corpus 1 service layer Db 3 Corpus 5
  • 20. A Production SESL Service Consumer Exemplar Disease Dossier Side Application License Service Layer Std Public Service Layer Std Public Service Layer Std Public Service Layer Std Public Vocabularies Vocabularies Vocabularies Vocabularies Assertion & Meta Data Mgmt Assertion & Meta Data Mgmt Assertion & Meta Data Mgmt Assertion & Meta Data Mgmt Transform / Translate Business Transform / Translate Business Transform / Translate Business Transform / Translate Business Rules Rules Rules Rules Integrator Integrator Integrator Integrator Broker Org #1 Broker Org #2 Broker Org #3 Broker Org #4 Corpus 1 Db 3 Corpus 5 Db 7 Corpus 9 Db 11 Corpus 13 Db 15 Corpus 4 Corpus 8 Corpus 12 Corpus 16 Db 2 Db 6 Db 10 Db 14 Supplier Side
  • 21. SESL Mock Up Slide 1 Gene: abc Relationship: Any Disease: Diabetes Constraint: Species: Any Tissue: Any
  • 22. SESL Mock Up Slide 2 Export to Network View Pivot on Assertion Gene R’ship Disease Species Evidence 1 abc1 Co-occurs Diabetes Mus Paper UID:1234 2 abc1 Up-Reg Diabetes Homo ArrayExpress: XXX 3 abc2 Co-occurs Diabetes Homo Paper UID:1344 4 abc13 Co-occurs Diabetes Mus Paper UID:1314 5 abc7 Mutation Diabetes Rattus OMIMI: XXX 6 abc1 Co-occurs Diabetes Mus Paper UID:45643 7 abc1 Co-occurs Diabetes Homo Paper UID:2143 8 abc1 Co-occurs Diabetes Mus Paper UID:1204
  • 23. SESL Mock Up Slide 3 Export to Network View Return Gene R’ship Disease Species Supporting Evidence 1 abc1 Co-occurs Diabetes Mus 3 2 abc1 Co-occurs Diabetes Homo 1 3 abc1 Up-Reg Diabetes Homo 1 4 abc7 Mutation Diabetes Rattus 1 5 abc13 Co-occurs Diabetes Mus 1 6 abc2 Co-occurs Diabetes Rattus 1
  • 24. Current SESL Participants AstraZeneca Funding GSK Funding Roche Funding Pfizer Funding Unilever FTEs European Bioinformatics Institute FTEs & Hosting Oxford University Press Content Nature Publishing Group Content Elsevier Content Royal Society of Chemistry Content
  • 25. www.pistoiaalliance.org If you want to go fast, go alone. If you want to go far, go together.
  • 28. Who we Are: Board of Directors GSK Accelrys AZ ChemAxon Novartis Symyx Pfizer CambridgeSoft Lundbeck Infosys BMS Thomson Reuters Roche
  • 29. 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/