Pathway Analysis for Drug Discovery: Computational Infrastructure and Applications - Hardcover

Hardcover

ISBN 10: 0470107057 ISBN 13: 9780470107058

Publisher: Wiley, 2008

Synopsis

This book introduces drug researchers to the novel computational approaches of pathway analysis and explains the existing applications that can save time and money in the drug discovery process. It covers traditional computational methods and software for pathway analysis microarray, proteomics, and metabolomics. It explains pathway reconstruction of diseases and toxic states, pathway analysis in various phases, dynamic modeling of drug responses, and more. This is a core resource for drug discovery and pharmaceutical industry researchers, chemists, and biologists and for professionals in related fields.

About this title

About the Author

ANTON YURYEV, PhD, is the Senior Director of Application Science at Ariadne Genomics Inc. His department studies the topological and evolutionary properties of biological networks and develops algorithms for pathway reconstruction and analysis of high-throughput data. Dr. Yuryev has published more than thirty scientific publications and is the author of several algorithms for primer design and pathway analysis.

From the Back Cover

Novel computational approaches to improve the effectiveness and efficiency of drug discovery

With chapters contributed by pioneers in the field, Pathway Analysis for Drug Discovery offers readers both important new research findings and state-of-the-science reviews. The book not only presents the latest developments in pathway analysis, it also explains how these developments can improve and accelerate drug discovery, highlighting new opportunities for drug development.

Rather than search for and pore through scores of articles published in disparate sources, readers can turn to Pathway Analysis for Drug Discovery. This single, carefully edited work:

• Introduces drug discovery researchers to novel computational approaches that enable them to better understand molecular function

• Focuses on cell and molecular signaling pathways, demonstrating how the underlying method theory and algorithm details are used in drug discovery

• Offers a comprehensive overview and unbiased assessment of applied methods for the pharmaceutical industry

In addition to traditional computational methods and software for pathway analysis, the book also covers:

• Pathway reconstruction of diseases and toxic states

• Pathway analysis for selection of drug targets, lead compound validation, and prediction of compound ADMET properties

• Dynamic modeling of drug responses

• Pathway analysis for design of selective drug mixtures and promiscuous drugs

Researchers who turn to this book will discover a variety of leading-edge methods to improve both the effectiveness and efficiency of their drug discovery and design efforts and gain an understanding of the role of pathway analysis infrastructure in modern and future drug discovery.

With chapters contributed by pioneers in the field, Pathway Analysis for Drug Discovery offers readers both important new research findings and state-of-the-science reviews. The book not only presents the latest developments in pathway analysis, it also explains how these developments can improve and accelerate drug discovery, highlighting new opportunities for drug development.

Rather than search for and pore through scores of articles published in disparate sources, readers can turn to Pathway Analysis for Drug Discovery. This single, carefully edited work:

• Introduces drug discovery researchers to novel computational approaches that enable them to better understand molecular function

• Focuses on cell and molecular signaling pathways, demonstrating how the underlying method theory and algorithm details are used in drug discovery

• Offers a comprehensive overview and unbiased assessment of applied methods for the pharmaceutical industry

In addition to traditional computational methods and software for pathway analysis, the book also covers:

• Pathway reconstruction of diseases and toxic states

• Pathway analysis for selection of drug targets, lead compound validation, and prediction of compound ADMET properties

• Dynamic modeling of drug responses

• Pathway analysis for design of selective drug mixtures and promiscuous drugs

Researchers who turn to this book will discover a variety of leading-edge methods to improve both the effectiveness and efficiency of their drug discovery and design efforts and gain an understanding of the role of pathway analysis infrastructure in modern and future drug discovery.

Edition details

• Publisher: Wiley
• Publication date: 2008
• Language: English
• ISBN 10: 0470107057
• ISBN 13: 9780470107058
• Binding: Hardcover
• Edition number: 1
• Number of pages: 320
• Editor: Yuryev Anton