Life Science Informatics: From Data to Drugs

Published by: CHI Insight Pharma Reports

Published: Apr. 1, 2003 - 188 Pages

Table of Contents

Chapter 1: Business and Technology
Overview: A Rapidly Evolving Industry

1.1 Unmet Needs: Essential Tools for
Expanding Demands

1.2 Emerging Opportunities: Profiting
During a Boom/Bust Cycle

1.3 Evolving Technologies

Chapter 2: Current and Emerging Technologies

• 2.1 High-Throughput Approaches
  
• Sequence Analysis
  
• Comparative Genomics
  
• Gene Expression Analysis
  
• Protein Expression Analysis
  
• Protein-Protein
  
• Interactions/Complexes
  
• Protein Structure
  
• Single Nucleotide Polymorphisms
  
• Gene/Protein Function
  
• Metabolomics/Metabonomics
  2.2 Data Collection
  
  2.3 Data Integration
  
  2.4 Data Mining and Visualization
  
  2.5 In Silico Modeling of Networks and
  Pathways
  
  2.6 Knowledge Management
  
  2.7 Key Information Technology
  Advances

Chapter 3: The Life Sciences Information Technology Market

3.1 Deals

3.2 Breakthroughs Needed

3.3 Fundamental Issues and Challenges

3.4 Building Up for Systems Biology

3.5 What Next?

Chapter 4: Expert Commentaries

• Howard Asher, Sun Microsystems,
  Inc.
  
• Jeffrey Augen, TurboWorx
  
• Dejan Bojanic, Millennium
  Pharmaceuticals
  
• Geoffrey Duyk, Exelixis
  
• Jack Elands, IDBS Ltd.
  
• David Finkelstein, Affymetrix
  
• Nat Goodman, Institute for Systems
  Biology
  
• Andrew Grimshaw, Avaki
  
• John Helfrich, NuGenesis
  
• Roberta Katz, EMC Corporation
  
• Carol Kovak, IBM
  
• Eric Meyers and Jack Pollard,
  3rd Millennium
  
• Alan Roter, Iconix Pharmaceuticals
  
• Yury Rozenman, formerly of Platform
  Computing
  
• Mick Savage, Consultant
  
• Shiv Tasker, formerly of Blackstone
  Computing
  
• Bernard P. Wess, Jr., PERSEID
  Software Ltd.

Chapter 5: Vital Business Statistics of Key Players

• Accelrys
  
• AnVil Inc. (formerly AnVil
  Informatics)
  
• Apple Computer
  
• Argentys
  
• Avaki Corporation
  
• BioDiscovery
  
• BioSift
  
• CambridgeSoft Corporation
  
• EMC Corporation
  
• Entelos
  
• eResearch Technology
  
• GeneCodes
  
• GeneData
  
• Gene-IT
  
• Gene Logic
  
• Hewlett Packard (Compaq)
  
• Hitachi Data Systems
  
• IBM
  
• InforMax (acquired by Invitrogen)
  
• LabBook, Inc.
  
• LION Bioscience
  
• MolecularWare
  
• Network Appliance
  
• Nonlinear Dynamics
  
• Physiome Sciences
  
• Platform Computing
  
• Scimagix
  
• SciQuest, Inc.
  
• SciTegic
  
• Silicon Genetics
  
• Spotfire
  
• Sun Microsystems
  
• Textco Molecular Biology (merged
  with SciQuest, Inc.)
  
• TimeLogic
  
• Tripos
  
• TurboWorx (formerly Turbogenomics)

Appendix A: Selected “Public/Free”
Analytical Tools for Microarray Studies

Appendix B: Bioinformatics
Dealmaking Activity

Glossary

Index

Abstract

Life Sciences Informatics: From Data to Drugs examines the overall landscape of bioinformatics and highlights those approaches, and companies pursuing them, that will likely address the industry's evolving needs. Key IT tools, such as high-performance computing, Web services, and grids, that are being used to improve the speed and efficiency of drug discovery and development are also discussed.

It’s now clear that selling bioinformatics data and/or software is a tricky business model. Furthermore, true breakthroughs are still lacking, particularly in key areas such as gene prediction, data mining, protein structure modeling and prediction, and modeling of complex biological systems. However, most experts agree that IT and bioinformatics are essential to reaching the improved productivity the pharmaceutical industry craves. The problem is not the quality of the software and hardwarerather, the difficulty lies in bringing the new laboratory tools to full maturity, teaching biologists how to manage high-throughput experiments and the data they generate, and sharing and integrating all this data in a meaningful way. The ultimate goal is to take the data from all these types of studies and to generate detailed models of complex systems, particularly biological pathways. Life Sciences Informatics: From Data to Drugs is crucial reading for companies seeking to reach that goal.

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