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Bioinformatics and Drug Discovery

Bioinformatics and Drug Discovery

Publisher Springer, Berlin
Year
Pages 444
Version hardback
Language English
ISBN 9781588293466
Categories Pharmacy / dispensing
Delivery to United States

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Book description

Many of the new technologies that are transforming drug discovery require a high degree of interdisciplinary expertise in physical science, life science, and computer science for bioinformatic analysis of their output. In Bioinformatics and Drug Discovery, a panel of researchers from academic and pharmaceutical laboratories describes readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described. The protocols follow the successful Methods in Molecular Biology series format, each offering step-by-step laboratory instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and highly practical, Bioinformatics and Drug Discovery makes it possible to apply in the research laboratory the powerful new technologies that promise to greatly improve and speed up the discovery of new drugs.

Bioinformatics and Drug Discovery

Table of contents

New Strategies in Drug Discovery
Eliot H. Ohlstein, Anthony G. Johnson, John D. Elliot, and Anne M. Romanic

Basic Microarray Analysis: Strategies for Successful Experiments
Scott A. Ness

From Microarray to Biological Networks: Analysis of Gene Expression Profiles
Xiwei Wu and T. Gregory Dewey

Microarray Analysis in Drug Discovery and Clinical Applications
Siqun Wang and Qiong Cheng

Ontology-Driven Approaches to Analyzing Data in Functional Genomics
Francisco Azuaje, Fatima Al-Shahrour, and Joaquin Dopazo

Gene Evolution and Drug Discovery
James O. McInerney, Caroline S. Finnerty, Jennifer M. Commins, and Gayle K. Philip

Standardization of Microarray and Pharmacogenomics Data
Casey S. Husser, Jeffrey R. Buchhalter, O. Scott Raffo, Amnon Shabo, Steven H. Brown, Karen E. Lee, and Peter L. Elkin

Clinical Applications of Bioinformatics, Genomics, and Pharmacogenomics
Omer Iqbal and Jawed Fareed

Protein Interactions Probed With Mass Spectrometry
Suma Kaveti and John R. Engen

Discovering New Drug Targeting Sites on Flexible Multidomain Protein Kinases: Combining Segmental Isotopic and Site-Directed Spin Labeling for Nuclear Magnetic Resonance Dectection of Interfacial Clefts
Thomas K. Harris

Nuclear Magnetic Resonance-Based Screening Methods for Drug Discovery
Laurel O. Sillerud and Richard S. Larson

Receptor-Binding Sites: Bioinformatic Approaches
Darren R. Flower

In Silico Protein Design: Fitting Sequence Onto Structure
Bassil I. Dahiyat

Chemical Database Preparation for Compound Acquisition or Virtual Screening
Cristian G. Bologna, Marius M. Olah, and Tudor I. Oprea

Bioinformatics Platform Development: From Gene to Lead Compound
Alexis S. Ivanov, Alexander V. Veselovsky, Alexander V. Dubanov, and Vladlen S. Skvortsov

Index

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