Description
This book is about how to use computational tools to identify and validate potential drug targets. It covers a variety of topics, including prescreening target selection, genetic modeling, and valuable data integration.
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.
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