Overview
- Editors:
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Richard S. Larson
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Department of Pathology, University of New Mexico School of Medicine, Albuquerque
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Table of contents (15 protocols)
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- Eliot H. Ohlstein, Anthony G. Johnson, John D. Elliott, Anne M. Romanic
Pages 1-11
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- Xiwei Wu, T. Gregory Dewey
Pages 35-48
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- Francisco Azuaje, Fatima Al-Shahrour, Joaquin Dopazo
Pages 67-86
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- James O. McInerney, Caroline S. Finnerty, Jennifer M. Commins, Gayle K. Philip
Pages 87-109
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- Casey S. Husser, Jeffrey R. Buchhalter, O. Scott Raffo, Amnon Shabo, Steven H. Brown, Karen E. et al.
Pages 111-157
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- Suma Kaveti, John R. Engen
Pages 179-197
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- Laurel O. Sillerud, Richard S. Larson
Pages 227-289
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- Cristian G. Bologa, Marius M. Olah, Tudor I. Oprea
Pages 375-388
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- Alexis S. Ivanov, Alexander V. Veselovsky, Alexander V. Dubanov, Vladlen S. Skvortsov
Pages 389-431
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Back Matter
Pages 433-444
About this book
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.
Reviews
"...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
Editors and Affiliations
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Department of Pathology, University of New Mexico School of Medicine, Albuquerque
Richard S. Larson