Bioinformatics and Drug Discovery

1. Front Matter

   Pages i-x

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2. New Strategies in Drug Discovery

   • Eliot H. Ohlstein, Anthony G. Johnson, John D. Elliott, Anne M. Romanic

   Pages 1-11

3. Basic Microarray Analysis

   • Scott A. Ness

   Pages 13-33

4. From Microarray to Biological Networks

   • Xiwei Wu, T. Gregory Dewey

   Pages 35-48

5. Microarray Analysis in Drug Discovery and Clinical Applications

   • Siqun Wang, Qiong Cheng

   Pages 49-65

6. Ontology-Driven Approaches to Analyzing Data in Functional Genomics

   • Francisco Azuaje, Fatima Al-Shahrour, Joaquin Dopazo

   Pages 67-86

7. Gene Evolution and Drug Discovery

   • James O. McInerney, Caroline S. Finnerty, Jennifer M. Commins, Gayle K. Philip

   Pages 87-109

8. Standardization of Microarray and Pharmacogenomics Data

   • Casey S. Husser, Jeffrey R. Buchhalter, O. Scott Raffo, Amnon Shabo, Steven H. Brown, Karen E. et al.

   Pages 111-157

9. Clinical Applications of Bioinformatics, Genomics, and Pharmacogenomics

   • Omer Iqbal, Jawed Fareed

   Pages 159-177

10. Protein Interactions Probed With Mass Spectrometry

    • Suma Kaveti, John R. Engen

    Pages 179-197

11. Discovering New Drug-Targeting Sites on Flexible Multidomain Protein Kinases

    • Thomas K. Harris

    Pages 199-225

12. Nuclear Magnetic Resonance-Based Screening Methods for Drug Discovery

    • Laurel O. Sillerud, Richard S. Larson

    Pages 227-289

13. Receptor-Binding Sites

    • Darren R. Flower

    Pages 291-358

14. In Silico Protein Design

    • Bassil I. Dahiyat

    Pages 359-374

15. Chemical Database Preparation for Compound Acquisition or Virtual Screening

    • Cristian G. Bologa, Marius M. Olah, Tudor I. Oprea

    Pages 375-388

16. Bioinformatics Platform Development

    • Alexis S. Ivanov, Alexander V. Veselovsky, Alexander V. Dubanov, Vladlen S. Skvortsov

    Pages 389-431

17. Back Matter

    Pages 433-444

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A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.

• In silico
• Radiologieinformationssystem
• bioinformatics
• development
• drug
• drug discovery
• evolution
• gene expression
• genes
• genome
• genomics
• informatics
• microarray
• protein
• standardization

"...succeeds admirably in illuminating the latest interdisciplinary techniques being applied to drug discovery, including target selection and validation, receptor binding site characterization and binding prediction, and use for new lead discovery." - Journal of Medicinal Chemistry

• Department of Pathology, University of New Mexico School of Medicine, Albuquerque

  Richard S. Larson

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