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E-raamat: Pathway Analysis for Drug Discovery: Computational Infrastructure and Applications

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The use of pathway analysis as a method for drug discovery and development has resulted in an acceleration in research results, and this textbook for molecular biology and biochemistry students and practitioners offers fundamental understanding of new computational approaches in the field. Yuryev (application science, Ariadne Genomics, Inc.) has edited research articles that include new methods of pathway reconstruction for diseases and toxic states, and analysis techniques for the selection of drug targets, lead compound validation and the prediction of compound ADMET properties. The adoption of pathway analysis as the leading method of future drug discovery is emphasized throughout this volume. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

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.

Arvustused

"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)

Preface vii
Contributors ix
Introduction to Pathway Analysis
1(26)
Anton Yuryev
Software Infrasturcture and Data Model for Pathway Analysis
27(20)
Fedor Bokov
Anton Yuryev
Automatic Pathway Inference in Heterogeneous Biological Association Networks
47(20)
Anton Yuryev
Andrey Kalinin
Nikolai Daraselia
Algorithmic Basis for Pathway Visualization
67(36)
Sergey Simakov
Iaroslav Ispolatov
Sergei Maslov
Alexander Nikitin
Pathway Analysis of High-Throughput Experimental Data
103(18)
Andrey Y. Sivachenko
Integrative Pathway Analysis of Disease Molecular Data
121(28)
Andrej Bugrim
Zoltan Dezso
Yuri Nikolsky
Tatiana Nikolskaya
Whole-Genome Expression Profiling of Papillary Serous Ovarian Cancer: Activated Pathways, Potential Targets, and Noise
149(16)
John Farley
Laurent L. Ozbun
Michael J. Birrer
Mammalian Proteome and Toxicant Network Analysis
165(30)
Sean Ekins
Craig N. Giroux
Unraveling Mechanisms of Toxicity with the Power of Pathways: ToxWiz Tool as an Illustrative Example
195(24)
Mark P. Kiihnel
Bojana Cosovic
Goran Medic
Robert B. Russell
Gordana Apic
Impact of Chemistry Information on Pathway Analysis
219(18)
Sreenivas Devidas
Propagation of Concentration Perturbation in Equilibrium Protein Binding Networks
237(26)
Sergei Maslov
Iaroslav Ispolatov
An Adaptive System Model of the Yeast Glucose Sensor System
263(22)
Todor Vujasinovic
Andre Sinisa Zampera
Present and Future of Pathway Analysis in Drug Discovery
285(12)
Anton Yuryev
Index 297
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.