Global Integration of Pre-clinical Global Integration of Pre-clinical Chemistry and Biology Data – Chemistry and Biology Data – Challenges and Benefits.Challenges and Benefits.

Jayne Cartmell Bowden, Ph.D.

Global Program Manager

Abbott Laboratories.

OverviewOverview

Discovery IT at Abbott - 1999 Project deployment and timelines Status details Impact TDB savings TDB metrics Lessons learned

Abbott Discovery IT - 1999Abbott Discovery IT - 1999

Biologists, chemists or ‘Paper-shufflers’? Frequent duplicate, manual entry of data

-slow, tedious, error-prone. Limited viewing and sharing of data. Out-of date Structure-Activity Relationships. Data scattered through-out Discovery Lack of standard tools made data sharing a

challenge… Excel, 4D, Ark, Access, Word, Accord, etc.

Consultant ReportConsultant Report

Tripos conducted IT analysis of Discovery data manipulation.

Abbott needed a system for projects to store and retrieve all project-related data…

…make project decisions wisely and quickly via ready access to accurate information.

Reduce ‘time-to-market’ and increase time under patent protection.

Reduce project costs via increased productivity. Abbott would save between $1.25 MM and $10 MM per

year if such a database system was in place.

““Integration”….Integration”….

‘…a process in which separately produced components are combined…’

Integration of Discovery dataIntegration of Discovery data

“In which assays has this compound/structure been run?” Effective access to project compound information -

structures, chemical properties and biological data is critical for productive drug discovery.

ChemicalProperties

BiologyData

In vitro In vivoPK

ADME

ChemicalStructure

RequirementsRequirements

Central, shared data repository.

Easy desktop access. Creation of SARs

including chemical structures and data.

Standard report generation by the scientists.

Data should be secure but not restricted.

Distinction made between published and unpublished data.

Storage of raw data avoids having to re-load data and provides data context.

Agreed on terminology. Minimal customization. Flexible – configurable

by scientists.

Therapeutic Area Database (TDB)Therapeutic Area Database (TDB)Assay Explorer

ISIS/Base

ISIS for Excel

Calculation Model

Export

Curve Fit

Reader Format

Data

Rollout Process and Timelines Rollout Process and Timelines

TDB rollout cycle (9 weeks)2 Projects deployed in parallel (23 AP Projects in total)

1 2 3 4 5 6 7 8 9 10 11

RequirementsRequirements

DevelopmentDevelopmentTestTest

FinalFinal

TrainTrain TrainTrain

DEV PRD

Go Live

1.5 days training for each scientist (detailed user manuals)

Global TDB StatusGlobal TDB Status

Abbott Park Deployment to all 23 projects complete (07/03)

Germany - Deployed October, 2002 Massachusetts - Deployed March, 2003 Support ramp-down and subsequent roll-outs on-going Positive feedback from Discovery scientists…

“…TDB is a huge time-saver…”

“…far superior to our old database…”

“…searching..is a huge improvement…”

TDB ImpactTDB Impact

Automated data entry (= less error). Updated data immediately accessible (= accurate). On-the-fly generation of SAR tables (= current). More time to focus on science. Broadens scope of data review. Facilitates research collaborations. Allows Discovery executives to monitor progress. Access to all Discovery data – globally. Terminology and standards applied across all sites. Data permanently accessible and understandable. Ability to perform tasks not possible before TDB.

TDB Impact – TDB Impact – Hard SavingsHard Savings

Estimate that IT support costs have been halved. Scientists at AP were queried one month after TDB launch. Based on 40 hour week, 48 weeks/year; on average, for one

project, hours saved…

Per Project Hours/wk $/year

Biologists (5) 27.5 181 000

Chemists (6) 6 40 000

Biology Group Leader 6 40 000

Chemistry Group Leader 1.5 10 000

Project Leader 1.5 10 000

Total 281K/yr

TDB Usage 2003TDB Usage 2003

0

20

40

60

80

100

120

140

160

180

200

220

Assay Explorer

ISIS

Jan Feb Mar Apr

Ave

rgae

nu

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f d

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lo

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May Jun Jul

Lessons Learned Lessons Learned

Ensure accurate and realistic scope verification. Thorough user testing is critical. Use realistic cost estimates. Do not underestimate the requirement for

detailed scientist training. Take frequent ‘reality-checks’. Effectively manage the scientists expectations

and the importance of their role in the deployment process.

Factors that helped usFactors that helped us

Executive support TDB team dedication and work ethic Scientific administrator TDB team experience and knowledge In-house trainers Documentation Support process Scientists on board

Thank-you….Thank-you….

LudwigshafenAgnes Metanomski

Alfred StefanGunther Stumpf

Heinz-Peter VogelJonathan Bosley (MDL)

Martine HeinrichPeter GruenerPeter Hellmann

Susanne BuechlerTom Marron

Uwe Christman

WorcesterAlan WilliamsBill George

Chris SprangelJoanne Kamens

Keith GlavinKeith Huss

MDL - SponsorsBill Balke

Debra ToburenLars BarfodMike Drake

Roger AbrahamSara BertschSeth Pinsky

Abbott ParkAlbert Crescenzo (MDL)

Brett Erkman Brian Devendorf Cynthia Collins

Dan MendroDevin Ridge

Diana Pell (MDL)Eric Schaefer

Faisal Waheed Jack Zhi

John Burns (MDL)John Crary (MDL)

John McCarthy (MDL)Julia Donavant

Karunakar ChikotiKelly Below (MDL)

Kim Davis Larry BuchananLeonard Sagalov

Matt Gianni (MDL) Mike Edwards (MDL)Ron Delmendo (MDL)

Subhash Nigam Zafar Ahmed

Abbott Park - SponsorsDon Halbert

Jim SummersJuergen Seega

Randy ChenBob Hogan

Thank-you….Thank-you….

Chris Butler

David Bacino

Fernando Egea

Gary Young

Grace Chiou

Jin Liu (MDL)

Karen Alexander

Manli Zheng

Martin Markley

Mike Karrmann

Omar Kazi

Ramesh Thangarajan

Tom Brady (MDL)

Kalyan Chintagunta