Bio-IT World 2009: Adjusting Information Flow from In-house HTS to Global Outsourcing Partners
Upcoming SlideShare
Loading in...5
×
 

Bio-IT World 2009: Adjusting Information Flow from In-house HTS to Global Outsourcing Partners

on

  • 1,427 views

Adjusting Information Flow from In-house HTS to Global ...

Adjusting Information Flow from In-house HTS to Global
Outsourcing Partners
Brian Bissett , Staff Scienti st, Molecular Properti es, Pfi zer
This talk will describe the benefi ts and pitf alls of working with a single supplier for screening
services, methods for determining if reliable data is being generated by an outsourcing partner,
and various mechanisms of acti on for manipulati ng, transferring, and integrati ng data into the
corporate environment from a foreign entity.

Statistics

Views

Total Views
1,427
Views on SlideShare
1,426
Embed Views
1

Actions

Likes
0
Downloads
15
Comments
0

1 Embed 1

http://www.lmodules.com 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Bio-IT World 2009: Adjusting Information Flow from In-house HTS to Global Outsourcing Partners Bio-IT World 2009: Adjusting Information Flow from In-house HTS to Global Outsourcing Partners Presentation Transcript

    • Adjusting Information Flow from In House HTS to Global Outsourcing Partners. Brian Bissett Pfizer Inc. Groton CT Structural and Automation Sciences
    • Overview  HTS/DASH Work Flow  Outsourcing Modifications  Molecular Properties (Solubility, LogD, etc.)  ADME Screens  Data Transfer  Serv U File Server  Data Formatting  Desktop Java J2EE Applications  Data Uploading  Bioloader  Data Viewing  RGATE (Research Gateway)  Future FTP Application  Excel VBA Based  Marshallsoft FTP Component 
    • Reality  Despite dramatically increasing expenditures for in-house pharmaceutical research and development (R&D) at major drug companies, few internally discovered, breakthrough products are on the horizon.  The pharmaceutical industry's R&D expenditures doubled over the past decade, but new molecular entity approvals plummeted by more than 50%. Source: Cutting Edge Information.  As a result of the changing landscape in the pharmaceutical industry, there will continue to be considerable consolidation and restructuring within the industry. Transformational Disruption in the Pharmaceutical Industry - Jeffrey Leiden, M.D., Ph.D. Clarus Ventures
    • Consequences
    • Workflow
    • Global View of Groton Sample Logistics TA Dry Store Chemistry Cambridge, WuXi, ACSL ChemBiotech Purification SND, STL, LJ Local Cmpd Sample Logistics Storage QC & QQC (ACSL) Liquid Storage EMS (COE) Biology Others – PDM TA Biology (screening)
    • Compound Flow to Screens TO SHIPPING Dry TO SCREENS Power DASH Plates (30 or 4 mM, >2uL) Liquid Sample Logistics 30 mM Stock Assay Ready Plates REMP Plate TO SHIPPING 4 mM; 2ul or 10 uL TO SCREENS
    • The Traditional Model Idea  Structure-based design  Computational Chemistry  Combinatorial Chemistry To Chemistry Synthesis & Purification To Users Screening DB
    • The Brave New World Model Idea Ohio China India Synthesis & Purification Screening To DB Users
    • Serv-U File Server
    • Serv-U Top Level Screen Specific  The Top Level of the File Server has a Directory for each type of Screen that is Outsourced.  Currently:  LogD  Solubility  Future: pKa & Stability
    • Serv-U Screen Specific Data  Plates = Information we Send to Analiza  Results = Information Analiza Sends to Pfizer  Special = Special Studies  Special Study Files may not conform to agreed upon standards and may require special intervention to process and load.
    • Desktop Java Application Formats Data  User Selects appropriate plate from drop down menu  Files are then reformatted with proper headers and made compliant with the Pfizer Bioloader Application.
    • File Changes are Tracked and Logged  Each Reformatted File Processed Creates a log file which indicates changes made and any errors that occurred during reprocessing.
    • Loading Data - BioLoader  Web based tool for Assay Data Loading.  Same tool Utilized at all sites for all screens.
    • BioLoader Screen Selection  Any properly registered Screen can load data using Bioloader.  Users have access to screens based on their specific needs.
    • BioLoader Main Screen  Shows Data Loaded and Data Pending to Load
    • The Loading Process – User Feedback
    • A Successful Data Load
    • Getting Results - Research Gateway
    • RGATE – Select Screen(s) to Query  Computational Screens require much longer computing times. ACD Labs, Tripos, etc.  Multiple screens and parameters may be queried at once.
    • RGATE – Query Methods
    • Running RGATE Query  Some Queries take hours or even days to run.  Time depends on number of CP’s to be returned and computing required.
    • RGATE – Report Creation from DB
    • Automated FTP File Processing  Processing the files that come back from Analiza is a very time consuming process.  Plate Files and Result Files must first be matched.  The files must then be processed to form a Results File which can be uploaded using the Bioloader Tool.  The processed Results Files must then be manually uploaded to the Oracle DB using the Bioloader Tool.  A log must be manually kept which records the last Plate and Results files that were processed, so the starting point is known the next time the process is run.  The processed plates need to be compared against the plates shipped so to guard against the possibility that compounds were lost.
    • Automated FTP File Processing
    • What we have Accomplished  Plate Files and Result Files must first be matched.  The files must then be processed to form a Results File which can be uploaded using the Bioloader Tool.  A log must be manually kept which records the last Plate and Results files that were processed, so the starting point is known the next time the process is run.  The processed plates need to be compared against the plates shipped so to guard against the possibility that compounds were lost.  The processed Results Files must then be automatically uploaded to the Oracle DB using the Bioloader Tool.
    • Additional Resources Practical Pharmaceutical Laboratory Automation  Hardcover: 464 pages  Publisher: CRC Press (May 2003)  ISBN: 0849318149 Automated Data Analysis with Excel  Softcover: 442 Pages  Chapman & Hall (June 2007)  ISBN: 1-58488-885-7
    • Acknowledgements Marina Shalaeva Scientist - Molecular Properties Group Tatyana Doroshenko Data Manager - Therapeutic Area Scientific Information Services (TASIS) Dr. Alex Yanovsky Associate Research Fellow - Oncology Medicinal Chemistry Dr. Laurence Philippe Associate Research Fellow - Analytic and Sample Logistics George Perkins Associate Research Fellow - Structural and Automation Sciences Aimee N. Kestranek Analiza - Director of Analytical Services