Overview of Discovery & Development Informatics at Lilly

Rick Bishop, Manager, DDITPhil Brooks, Information Consultant, DDITHans Constandt, Senior Business Consultant, DDITAndy Ring, Information Consultant, DDIT Susie Stephens, Manager, DDIT

Agenda

• Introduction to Lilly

• Discovery & Development Informatics Plans

• External Focus

Introduction to Lilly

Eli Lilly Background

• A heritage more than 130 years strong

• Headquarters located in Indianapolis, Indiana, USA

• Approximately 40,000 employees worldwide

• Approximately 8,000 employees engaged in R&D

• Clinical research conducted in more than 50 countries

• Research and development facilities located in 8 countries

• Manufacturing plants located in 13 countries

• Products marketed in 143 countries

Breakthrough Products

** Lilly has launched 9 new products since 2001

** Malignant pleural mesothelioma and lung cancer

** Type II diabetes (developed and marketed in partnership with Amylin pharmaceuticals)

** Erectile dysfunction

** Major depression and DPNP (Partnership with Quintiles)

Osteoporosis in women past menopause

** Osteoporosis for men and women in post menopause who are susceptible to fractures

Cancer (pancreatic and non-small-cell lung cancer; bladder and breast cancer in Europe)

Type 1 & Type 2 Diabetes

Humatrope Growth deficiency

Type 1 & Type 2 Diabetes

Cardiac ischemic complications (developed by Centocor, marketed by Lilly)

** Treatment of ADHD

** Treatment of bipolar depression

** Treatment of severe sepsis

** Stress urinary incontinence (marketed in Europe with Boehringer Ingelheim)

Schizophrenia, bipolar mania, and bipolar maintenance

Discovery & Development Informatics

• Functional Areas• Biology• Chemisty• ADME/Tox• Experimental Medicine• Process R&D

• Skills• Informatics• Software engineering• Systems integration• Discovery PMO• Discovery COE• External Surveillance

• MaryJo Zaborowski, Information Officer• 230 employees globally

Industry spends more to get less

Source: PhRMA, FDA, Lehman Bros.

Patient-centric Focus

Silos Need to be Broken Down

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Target Hit Lead PgS CS FHD FED PD/RD FS FA FL GL

TargetToHit

HitTo

Lead

LeadTo

PgS

LeadOptimization

Pre-ClinicalDevelopment

Phase I Phase 2 Phase 3Registration

LaunchGlobalLaunch

Project Program Product

Exploratory

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Data

Transform

Model &Understand

Generate/TestHypothesis

Analyze& Mine

Integrating Heterogeneous Data

Cell/AssayTechnologies

Re-Aligning IT Spend

Source: Professor Peter Weill, MIT Sloan School of Management

Discovery & Development Informatics Plans

CustomSoftwareEngineering

SystemsIntegration

ResearchOperations

Workflow/BusinessLogic

Discovery SOA Components

OntologyData Consumers

Data Providers

Integration Services

Custom

COTS

Composite Application

Application

CRO

OpsDB

Mart

WS

WS WS

WS WSWS

WS

Application

OpsDB

Application

OpsDB

Application

OpsDB

Semantic Layer

Discovery Metadata: Architecture

Application 1 Application 2 Application 3 …

SOA Layer/Enterprise Service Bus

(WebServices, Visualizers, DataAccess Components)Authentication

SOA

DATA

APPS

SQL SPARQL

SourceModel 1

SourceModel 2

SourceModel 3

SourceModel 4

LocalAssertions

Top LevelOntology

Provenance

OtherSources

OtherSources

Source…

ETL

OtherTools

SpreadsheetsRdbms

Proposed Architecture

RDF XMLRDF CSV Web RDBMS

Top levelontology

RDF RDF RDBMSRDF RDBMS RDBMS

Sparql endpoints

Manual

Autom

ated

Semantic pipes

RDF

Middleware - Relational2RDF

XLS

RDBMS

Docs RDBMS

(**) – URI / Unique resource identifiers

Lilly &PublicStructured & UnstructuredData sources.

Standardize (*) – (**)

Client APIsC#, Java, Ruby

Browsers & VisualizationDatamarts

/Warehouses

Desktop applications

DomainOntologies& vocabs

DomainOntologies& vocabs

DomainOntologies& vocabs

(*) – Data clean, map to vocabularies, ontologies

Security – http standard

Lilly Securitystandards:

LillyNetDIT, GMR

LSG Going Forward

• Evolve CAB toward CompositeWCF

• Establish ESB• D2R

• Establish SOA fabric• Governance - Design time • Monitoring - Run time

• Extend semantics within LSG messaging

• Incorporate semantic provenance

External Focus

Open Innovation Group Activities

• Identify suitable innovation projects from the DDIT portfolio

• Work with internal scientist &/or external collaborators to create POCs of the identified projects

• Demonstrate value of innovation projects within DDIT

• Showcase novel solutions to senior management in LRL

• Promote work of group through Web site, newsletter, etc.

• Scout for interesting new technologies from universities, standards organizations

• Write up brief reviews of interesting technologies for dissemination across DDIT

• Organize presentations/demos of appealing technologies to DDIT

• Support Lilly’s open source projects

• Influence development of 3rd party products to better meet our needs

Benefits of Open Innovation Team

• Fast assessment of the value of a technology

• Quick delivery of informatics solutions to LRL that meet prioritized scientific needs

• Increased awareness of how emerging technologies may change the landscape in 3-5 yrs

• Streamlined dissemination of information about new technologies

• Use knowledge gained to make best investments going forwards

• Establish relationships with key technology players for the future environment

• Influence vendors to develop solutions in ways that work for us

• Increased success in using tools from academia

• More formalized process for developing ‘supported’ technologies

• Ability to more easily utilize output from the Open Innovation Center

• Raise awareness of DDIT and the importance of IT within LRL

Ongoing Open Innovation Projects

• RDF Access to Relational Databases• Eric Prud'hommeaux

• End User Semantic Web Authoring• David Karger

• Scientist-Driven Semantic Integration of Knowledge in AD• Tim Clark, June Kinoshita

• Provenance Collection and Management• Carole Goble, Beth Plale

• Linking Open Drug Data• Chris Bizer

• Drug Target Networks• Lászó Barabási

Standards Group Participation

• W3C– HCLS IG, RDB2RDF XG, Social Networking Workshop, tracking

WACG, likely participation in DAWG• CDISC

– SDTM, Metadata Repository, SEND• HL7• The Open Group• EBI’s Industry Consortium

Conclusions

• Lilly is a successful mid-sized pharma company

• The pharma industry is under considerable pressure to become more effective

• Industry shifts requires a greater exploitation of information

• Need greater adoption of innovative solutions in cutting edge infrastructure and informatics

• LSG, Semantic Web and SOA are all in our architectural plans

• Increased focus on external collaborations