From basic pre-screening target selection to genetic modeling and valuable data integration, this book examines experimental methods, modeling, and computational techniques used to accelerate the drug target discovery process and assess the functionality of potential targets more effectively. World-renowned researchers from industry and academia cover many topics not found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics. The book also details the use of human simulation models and BioIT hardware for supporting in silico research.

Foreword. Preface. Introduction.TARGET IDENTIFICATION: 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. Index