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Bioinformatics and Drug Discovery
Richard S. . Ed(S): Larson
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Description for Bioinformatics and Drug Discovery
Paperback. Editor(s): Larson, Richard S. Series: Methods in Molecular Biology. Num Pages: 444 pages, 103 black & white illustrations, biography. BIC Classification: MBF; MQP. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 25. Weight in Grams: 666.
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.
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.
Product Details
Format
Paperback
Publication date
2010
Publisher
Humana Press Inc. United States
Number of pages
444
Condition
New
Series
Methods in Molecular Biology
Number of Pages
444
Place of Publication
Totowa, NJ, United States
ISBN
9781617375095
SKU
V9781617375095
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Bioinformatics and Drug Discovery
"...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