In Silico Technologies in Drug Target Identification and Validation: 6 (Drug Discovery Series)

Darryl Leon, Scott Markel, Burkhard Rost, Alfonso Valencia, Reinhard Schneider, Vinodh N. Rajapakse, Jaume M. Canaves, Michael R. Barnes, Alvis Brazma, Aedin Culhane, William Hayes, Raf M. Podowski, Bruce Gomes, Eric Minch, Ivayla Vacheva, Ana Rojas, David de Juan, Rajesh Nair, Sean I. O'Donoghue, Robert B. Russell, Andrea Schafferhans, Christopher Sears, Viviane Siino, Bruce Pascal, Bahram Kermani, Seth Michelson, Alex L. Bangs, Didier Scherrer, Tad Hurst, Arek Kasprzyk, Damian Smedley, Philip Miller, Michael Dickson, Michael Peeler, Robin McEntire, Robert Stevens, Andrew Carmen

ISBN 10: 1574444786 / ISBN 13: 9781574444780

Published by CRC Press 2006-06-13, 2006

About this Item

Seller Inventory # 6666-TNFPD-9781574444780

Bibliographic Details

• Title: In Silico Technologies in Drug Target Identification and Validation: 6 (Drug Discovery Series)
• Publisher: CRC Press 2006-06-13
• Publication Date: 2006
• Language: English
• ISBN 10: 1574444786
• ISBN 13: 9781574444780
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures.

In Silico Technologies in Drug Target Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools, public and commercial databases, mathematical methods, and software for interpreting complex experimental data. The book describes how these tools are used to visualize a target structure, identify binding sites, and predict behavior. World-renowned researchers cover many topics not typically found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics.

Covering issues that range from prescreening target selection to genetic modeling and valuable data integration, In Silico Technologies in Drug Target Identification and Validation is a self-contained and practical guide to the various computational tools that can accelerate the identification and validation stages of drug target discovery and determine the biological functionality of potential targets more effectively.

Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.

About the Author

Darryl Leon, Scott Markel