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Pharmaceutical data mining : approaches and applications for drug discovery /
Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response prediction, Pharmaceutic...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley,
©2010.
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| Colección: | Wiley series on technologies for the pharmaceutical industry.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Pharmaceutical data mining : |b approaches and applications for drug discovery / |c edited by Konstantin V. Balakin. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c ©2010. | ||
| 300 | |a 1 online resource (xvi, 561 pages, 4 unnumbered pages of plates) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Wiley Series on Technologies for the Pharmaceutical Industry ; |v v.6 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a A history of the development of data mining in pharmaceutical research / David J. Livingstone and John Bradshaw -- Drug gold and data dragons : myths and realities of data mining in the pharmaceutical industry / Barry Robson and Andy Vaithiligam -- Application of data mining algorithms in pharmaceutical research and development / Konstantin V. Balakin and Nikolay P. Savchuk -- Data mining approaches for compound selection and iterative screening / Martin Vogt and Jürgen Bajorath -- Prediction of toxic effects of pharmaceutical agents / Andreas Maunz and Christoph Helma -- Chemogenomics-based design of GPCR-targeted libraries using data mining techniques / Konstantin V. Balakin and Elena V. Bovina -- Mining high-throughput screening data by novel knowledge-based optimization analysis / S. Frank Yan [and others] -- Mining DNA microarray gene expression data / Paolo Magni -- Bioinformatics approaches for analysis of protein-ligand interactions / Munazah Andrabi [and others] -- Analysis of toxicogenomics databases / Lyle D. Burgoon -- Bridging the pharmaceutical shortfall : informatics approaches to the discovery of vaccines, antigens, epitopes, and adjuvants / Matthew N. Davies and Darren R. Flower -- Data mining in pharmacovigilance / Manfred Hauben and Andrew Bate -- Data mining methods as tools for predicting individual drug response / Audrey Sabbagh and Pierre Darlu -- Data mining methods in pharmaceutical formulation / Raymond C. Rowe and Elizabeth A. Colbourn -- Dimensionality reduction techniques for pharmaceutical data mining / Igor V. Pletnev, Yan A. Ivanenkov, and Alexey V. Tarasov -- Advanced artificial intelligence methods used in the design of pharmaceutical agents / Yan A. Ivanenkov and Ludmila M. Khandarova -- Databases for chemical and biological information / Tudor I. Oprea, Liliana Ostopovici-Halip, and Ramona Rad-Curpan -- Mining chemical structural information from the literature / Debra L. Banville. | |
| 520 | |a Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response prediction, Pharmaceutical Data Mining links theory to applications to illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development. The book is of vital interest to pharmaceutical scientists, principal investigators and scientists, research directors, industrial. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Pharmacology. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 1 | 2 | |a Drug Discovery |x methods |
| 650 | 2 | 2 | |a Computational Biology |
| 650 | 2 | 2 | |a Data Interpretation, Statistical |
| 650 | 2 | |a Pharmacology | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Pharmacologie. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 7 | |a pharmacology. |2 aat | |
| 650 | 7 | |a MEDICAL |x Drug Guides. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Pharmacology. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Pharmacy. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Nursing |x Pharmacology. |2 bisacsh | |
| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Pharmacology |2 fast | |
| 650 | 7 | |a Arzneimittelentwicklung |2 gnd | |
| 650 | 7 | |a Data Mining |2 gnd | |
| 700 | 1 | |a Balakin, Konstantin V. | |
| 758 | |i has work: |a Pharmaceutical data mining (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFxXxxFTqgvHRj87j9rBxC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| 830 | 0 | |a Wiley series on technologies for the pharmaceutical industry. | |
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