Pathway Analysis for Drug Discovery: Computational Infrastructure and Applications

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

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.

320 pages, Hardcover

First published September 29, 2008

Reviews

[Vladimir · Rating 2 out of 5]

There are two types of scientific books - first, is a collection of articles under one theme, sometimes well connected but mostly do not fit into structure of the book title; second - is a well structured book that can be read by chapter or from begging to the end.

Anton Yuryev from Ariadne Genomics did a really good job as editor, and all of the chapter written by him and colleagues from Ariadne Genomics are perfectly seated under the book title. I can't say the same about half of the other chapters that are actually the scientific articles that are connected with the book topic but are not well structured.

Book is not for the systems biology newbies (except for one's written by Ariadne Genomics and several others). Most of the chapters are descriptive and answer the question "How we can apply systems biology to drug design?" only indirectly.

If you are already have some experience with systems biology - go ahead this book will fill some gaps in the knowledge. If you newbie - read the chapters by Ariadne Genomics.