The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyse 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.

Target Identification, Introduction, Pattern Matching, Tools for Computational Protein Annotation and Functional Assignment, The Impact of Genetic Variation on Drug Discovery and Development, Mining of Gene Expression Data, Target Validation, Text Mining, Pathways and Networks, Molecular Interactions: Learning from Protein Complexes, In Silico siRNA Design, Predicting Protein Subcellular Localization Using Intelligent Systems, Three-Dimensional Structures in Target Discovery and Validation, Recent Trends, Comparative Genomics, Pharmacogenomics, Target Identification and Validation Using Human Simulation Models, Using Protein Targets for In Silico Structure-Based Drug Discovery, Computational Infrastructure, Database Management, BioIT Hardware Configuration, BioIT Architecture: Software Architecture for Bioinformatics Research, Workflows and Data Pipelines, Ontologies.