In silico technologies in drug target identification and validation / edited by Darryl León, Scott Markel.

Format:

Book

Contributor:

León, Darryl.

Markel, Scott.

Series:

Drug discovery series ; 6.

Drug discovery series ; 6

Language:

English

Subjects (All):

Drug development.

Drug development--Computer simulation.

Drug Delivery Systems--methods.

Chemistry, Pharmaceutical.

Computational Biology.

Computer simulation.

Medical Subjects:

Drug Delivery Systems--methods.

Chemistry, Pharmaceutical.

Computational Biology.

Physical Description:

490 pages, 4 unnumbered pages of plates : illustrations (partly color) ; 25 cm.

Place of Publication:

Boca Raton : CRC Taylor & Francis, [2006]

Summary:

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 basic prescreening target selection to genetic medeling 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.

Contents:

Pattern matching / Scott Markel and Vinodh N. Rajapakse

Tools for computational protein annotation and function assignment / Jaume M. Canaves

The impact of genetic variation on drug discovery and development / Michael R. Barnes

Mining of gene-expression data / Aedin Culhane and Alvis Brazma

Text mining / Bruce Gomes, William Hayes, and Raf M. Podowski

Pathways and networks / Eric Minch and Ivayla Vatcheva

Molecular interactions: learning from protein complexes / Ana Rojas, David de Juan, and Alfonso Valencia

In silico siRNA design / Darryl León

Predicting protein subcellular localization using intelligent systems / Rajesh Nair and Burkhard Rost

Three-dimensional structures in target discovery and validation / Seán I. O'Donoghue, Robert B. Russell, and Andrea Schafferhans

Comparative genomics / Viviane Siino, Bruce Pascal, and Christopher Sears

Pharmacogenomics / Bahram Ghaffarzadeh Kermani

Target identification and validation using human simulation models / Seth Michelson, Didier Scherrer, and Alex L. Bangs

Using protein targets for in silico structure-based drug discovery / Tad Hurst

Database management / Arek Kasprzyk and Damian Smedley

BioIT hardware configuration / Philip Miller

BioIT architecture: software architecture for bioinformatics research / Michael Dickson

Workflows and data pipelines / Michael Peeler

Ontologies / Robin A. McEntire and Robert Stevens.

Notes:

Includes bibliographical references and index.

ISBN:

1574444786

OCLC:

64263546

Publisher Number:

9781574444780

Online:

Publisher description