Bioinformatics and Drug Discovery (2^nd Ed., Softcover reprint of the original 2nd ed. 2012)
Methods in Molecular Biology Series, Vol. 910

Recent advances in drug discovery have been rapid.  The second edition of  Bioinformatics and Drug Discovery hasbeen completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway analysis. Each chapter provides an extended introduction that describes the theory and application of the technology. In the second part of each chapter,  detailed procedures related to the use of these technologies and software have been incorporated. Written in the highly successful Methods in Molecular Biology? series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.

Thorough and intuitive, Bioinformatics and Drug Discovery, Second Edition  seeks to aid scientists in the further study of the rapidly expanding field of drug discovery.

Cell Perturbation Screens for Target Identification by RNAi.-Using Functional Genomics to Identify Drug Targets: a Dupuytren’s Disease Example.-Functional Characterization of Human Genes from Exon Expression and RNA Interference Results.-Barcode Sequencing for Understanding Drug-gene Interactions.-High-Throughput Sequencing of the Methylome Using Two-Base Encoding.-Applications and Limitations of In Silico Models In Drug Discovery.-Compound Collection Preparation for Virtual Screening.-Mapping Between Databases of Compounds and Protein Targest.-Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-Array and Gene Expression Data.-Advances in Nuclear Magnetic Resonance for Drug Discovery.-Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance.-Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection.-Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis.-Models of Excitation-Contraction Coupling in Cardiac Ventricular Myocytes.-Integration of Multiple Ubiquitin Signals in Proteasome Regulation.