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Global Integration of Pre-clinical Chemistry and Biology Data – Challenges and Benefits. Jayne Cartmell Bowden, Ph.D. Global Program Manager Abbott Laboratories. Overview. Discovery IT at Abbott - 1999 Project deployment and timelines Status details Impact TDB savings TDB metrics

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Global integration of pre clinical chemistry and biology data challenges and benefits l.jpg

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

Jayne Cartmell Bowden, Ph.D.

Global Program Manager

Abbott Laboratories.


Overview l.jpg
Overview Data – Challenges and Benefits.

  • Discovery IT at Abbott - 1999

  • Project deployment and timelines

  • Status details

  • Impact

  • TDB savings

  • TDB metrics

  • Lessons learned


Abbott discovery it 1999 l.jpg
Abbott Discovery IT - 1999 Data – Challenges and Benefits.

  • 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  • Out-of date Structure-Activity Relationships.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.


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Consultant Report Data – Challenges and Benefits.

  • 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 l.jpg
“Integration”…. Data – Challenges and Benefits.

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


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Integration of Discovery data Data – Challenges and Benefits.

  • “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.

Chemical

Structure

Chemical

Properties

Biology

Data

In vitro

In vivo

PK

ADME


Requirements l.jpg
Requirements Data – Challenges and Benefits.

  • 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.


Slide8 l.jpg

Therapeutic Area Database (TDB) Data – Challenges and Benefits.

ISIS/Base

Data

Assay Explorer

Reader Format

Calculation Model

Export

ISIS forExcel

Curve Fit


Rollout process and timelines l.jpg

1 Data – Challenges and Benefits.

2

3

4

5

6

7

8

9

10

11

Rollout Process and Timelines

TDB rollout cycle (9 weeks)

2 Projects deployed in parallel (23 AP Projects in total)

DEV

PRD

Requirements

Development

Test

Final

Train

Train

Go Live

1.5 days training for each scientist (detailed user manuals)


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Global TDB Status Data – Challenges and Benefits.

  • 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 impact l.jpg
TDB Impact Data – Challenges and Benefits.

  • 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 hard savings l.jpg
TDB Impact – Data – Challenges and Benefits.Hard 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…


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TDB Usage 2003 Data – Challenges and Benefits.


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Lessons Learned Data – Challenges and Benefits.

  • 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.


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Factors that helped us Data – Challenges and Benefits.

  • 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 l.jpg
Thank-you…. Data – Challenges and Benefits.

Abbott Park

Albert Crescenzo (MDL)

Brett Erkman

Brian Devendorf

Cynthia Collins

Dan Mendro

Devin Ridge

Diana Pell (MDL)

Eric Schaefer

Faisal Waheed

Jack Zhi

John Burns (MDL)

John Crary (MDL)

John McCarthy (MDL)

Julia Donavant

Karunakar Chikoti

Kelly Below (MDL)

Kim Davis

Larry Buchanan

Leonard Sagalov

Matt Gianni (MDL)

Mike Edwards (MDL)

Ron Delmendo (MDL)

Subhash Nigam

Zafar Ahmed

Abbott Park - Sponsors

Don Halbert

Jim Summers

Juergen Seega

Randy Chen

Bob Hogan

MDL - Sponsors

Bill Balke

Debra Toburen

Lars Barfod

Mike Drake

Roger Abraham

Sara Bertsch

Seth Pinsky

Ludwigshafen

Agnes Metanomski

Alfred Stefan

Gunther Stumpf

Heinz-Peter Vogel

Jonathan Bosley (MDL)

Martine Heinrich

Peter Gruener

Peter Hellmann

Susanne Buechler

Tom Marron

Uwe Christman

Worcester

Alan Williams

Bill George

Chris Sprangel

Joanne Kamens

Keith Glavin

Keith Huss


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Thank-you…. Data – Challenges and Benefits.

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


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