Bioinformatics and Drug Discovery

ISBN-13: 9781617375095 / Angielski / Miękka / 2010 / 444 str.

Richard S. Larson

Opis

A collection of 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.

Recenzje

"...succeeds admirably in illuminating the latest interdisciplinary techniques being applied to drug discovery, including target selection and validation, receptor binding site characterization and binding prediction, and use for new lead discovery." - Journal of Medicinal Chemistry

Spis treści

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

Blurb

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.