Pathway Analysis for Drug Discovery: Computational Infrastructure and Applications (Wiley Series on Technologies for the Pharmaceutical Industry) - Hardcover

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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.

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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.

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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.