E-Book, Englisch, 504 Seiten
Reihe: Drug Discovery Series
Leon / Markel In Silico Technologies in Drug Target Identification and Validation
Erscheinungsjahr 2010
ISBN: 978-1-4200-1573-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 504 Seiten
Reihe: Drug Discovery Series
ISBN: 978-1-4200-1573-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools, public and commercial databases, mathematical methods, and software for interpreting complex experimental data. The book describes how these tools are used to visualize a target structure, identify binding sites, and predict behavior. World-renowned researchers cover many topics not typically found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics. Covering issues that range from prescreening target selection to genetic modeling and valuable data integration, In Silico Technologies in Drug Target Identification and Validation is a self-contained and practical guide to the various computational tools that can accelerate the identification and validation stages of drug target discovery and determine the biological functionality of potential targets more effectively.
Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.
Zielgruppe
Medicinal chemists, biologists, pharmacologists, and pharmaceutical chemists; professionals and researchers in drug discovery and validation, systems biology, genomics, proteomics, and bioinformatics; venture capitalists.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Foreword; R. Schneider and H. Voss
Preface; D. León and S. Markel
Introduction; D. León PART I: Target Identification
Pattern Matching;S. Markel and V.N. Rajapakse
Tools for Computational Protein Annotation and Functional Assignment; J. M. Canaves
The Impact of Genetic Variation on Drug Discovery and Development; M.R. Barnes
Mining of Gene Expression Data; A. Brazma and A. Culhane PART II: Target Validation
Text Mining; W. Hayes, R. M. Podowski, and B. Gomes
Pathways and Networks; E. Minch and I. Vacheva
Molecular Interactions: Learning from Protein Complexes; A. Rojas, D. de Juan, and A. Valencia
In Silico siRNA Design; D. León
Predicting Protein Subcellular Localization Using Intelligent Systems; R. Nair and B. Rost
Three-Dimensional Structures in Target Discovery and Validation; S.I. O’Donoghue, R.B. Russell, and A. Schafferhans PART III: Recent Trends
Comparative Genomics; C. Sears, V. Siino, and B. Pascal
Pharmacogenomics; B.G. Kermani
Target Identification and Validation Using Human Simulation Models; S. Michelson, A.L. Bangs, and D. Scherrer
Using Protein Targets for In Silico Structure-Based Drug Discovery; T. Hurst PART IV: Computational Infrastructure
Database Management; A. Kasprzyk and D. Smedley
BioIT Hardware Configuration; P. Miller
BioIT Architecture: Software Architecture for Bioinformatics Research; M. Dickson
Workflows and Data Pipelines; M. Peeler
Ontologies; R.A. McEntire and R. Stevens Index
