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

Anton Yuryev (Editor), Sean Ekins (Series Editor)

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Book Description

September 29, 2008 0470107057 978-0470107058 1
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.

Editorial Reviews

Review

"Pathway analysis will help lead to a better understanding of the chemistry of living systems and the aberrations that disrupt health. This new book will serve as a beacon to research interested in this field." (Journal of Medicinal Chemistry, April 9, 2009)

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.


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
inborn errors, disregulated genes, group scoring methods, biological association network, molecular annotation, automatic pathway building, structural drug design, physical interaction network, glucose sensor system, pathway analysis tools, pathway analysis software, interactome database, testis problems, transcriptional plasticity, profiling datasets, serous ovarian cancer, pathway visualization, human interactome, pathway collection, drug discovery pipeline, cancer stem cells, energy minimization algorithms, testis degeneration, toxicity biomarkers, diauxic shift
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proc Natl Acad Sci, Nat Biotechnol, Ariadne Genomics, Gene Ontology, Anton Yuryev Copyright, Nucleic Acids Res, John Wiley, Table of Contents, Nat Genet, Pathway Studio, Mol Syst Biol, Genome Biol, Genome Res, Graph Drawing, Mol Cell Biol, International Symposium, Toxicol Sci, Biol Chem, Open Liver, Saccharomyces Genome Database, Mol Biol Cell, Comput Biol, Cancer Res, Entrez Gene, Drug Discov Today
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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