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.

Features:

• Presents the most recent trends based on significant advances made in genomics, proteomics, and bioinformatics since the 1970s
• Examines genomic correlations between different organisms and various models that simulate disease progression in humans
• Details the components of BioIT hardware configuration and architecture requirements, a key tool for supporting in silico research
• Reviews the numerous tools, initiatives, projects, and standards for ontologies and how they can be used in the drug discovery process
• Provides examples and tables to illustrate the use of a particular technology as well as recommended books, journal articles, and Web sites for further information

Contents

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

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