Description |
1 online resource (xii, 374 pages) : illustrations |
Series |
Methods in molecular biology, 1940-6029 ; v. 910 |
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Methods in molecular biology (Clifton, N.J.) ; volume 910. 1064-3745
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Contents |
Cell perturbation screens for target identification by RNAi / Kubilay Demir and Michael Boutros -- Using functional genomics to identify drug targets : a Dupuytren's disease example / Mirela Sedic, Sandra Kraljevic Pavelic, and Karlo Hock -- Functional characterization of human genes from exon expression and RNA interference results / Dorothea Emig, Hagen Blankenburg, Fidel RamÃrez, and Mario Albrecht -- Barcode sequencing for understanding drug-gene interactions / Andrew M. Smith, Tanja Durbic, Saranya Kittanakom, Guri Giaever, and Corey Nislow -- High-throughput sequencing of the methylome using two-base encoding / Christina A. Bormann Chung -- Applications and limitations of in silico models in drug discovery / Ahmet Sacan, Sean Ekins, and Sandhya Kortagere -- Compound Collection Preparation for Virtual screening / Cristian G. Bologa and Tudor I. Oprea -- Mapping between databases of compounds and protein targets / Sorel Muresan, Markus Sitzmann, and Christopher Southan -- Predictive cheminformatics in drug discovery : statistical modeling for analysis of micro-array and gene expression data / N. Sukumar, Michael P. Krein, and Mark J. Embrechts -- Advances in nuclear magnetic resonance for drug discovery / Laurel O. Sillerud and Richard S. Larson -- Human ABC transporter ABCG2 in cancer chemotherapy : drug molecular design to circumvent multidrug resistance / Toshihisa Ishikawa, Hikaru Saito, Hiroyuki Hirano, Yutaka Inoue, and Yoji Ikegami -- Protein interactions : mapping interactome networks to support drug target discovery and selection / Javier De Las Rivas and Carlos Prieto -- Linking variants from genome-wide association analysis to function via transcriptional network analysis / Benjamin J. Keller, Sebastian Martini, and Viji Nair -- Models of excitation-contraction coupling in cardiac ventricular myocytes / M. Saleet Jafri -- Integration of multiple ubiquitin signals in proteasome regulation / Marta Isasa, Alice Zuin, and Bernat Crosas |
Summary |
Recent advances in drug discovery have been rapid. The second edition of Bioinformatics and Drug Discovery has been 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 |
Analysis |
farmacie |
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pharmacy |
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geneesmiddelen |
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drugs |
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bioinformatics |
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Bioinformatics (General) |
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Bioinformatica (algemeen) |
Bibliography |
Includes bibliographical references and index |
Notes |
Previous edition: 2006 |
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English |
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Print version record |
Subject |
Drug development.
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High throughput screening (Drug development)
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Drug development -- Data processing
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Protein engineering -- Computer simulation
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Bioinformatics.
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Cheminformatics.
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Combinatorial chemistry.
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Drugs -- Design.
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Genetics -- Technique.
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Drug Design
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Computational Biology -- methods
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Drug Evaluation, Preclinical
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Genetic Techniques
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Microarray Analysis
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Pharmacogenetics -- methods
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Computational Biology
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Cheminformatics
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Genetics -- Technique
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Drugs -- Design
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Bioinformatics
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Cheminformatics
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Combinatorial chemistry
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Drug development
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High throughput screening (Drug development)
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Genre/Form |
Laboratory manuals.
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Manuels de laboratoire.
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Form |
Electronic book
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Author |
Larson, Richard S.
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ISBN |
9781617799655 |
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1617799653 |
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