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Pharmaceutical data mining : approaches and applications for drug discovery / edited by Konstantin V. Balakin.

Ebook Central Academic Complete Available online

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Ebook Central College Complete Available online

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Format:
Book
Contributor:
Balakin, Konstantin V.
Series:
Wiley Series on Technologies for the Pharmaceutical Industry
Wiley Series on Technologies for the Pharmaceutical Industry ; v.6
Language:
English
Subjects (All):
Pharmacology.
Data mining.
Computational biology.
Physical Description:
1 online resource (584 p.)
Edition:
1st ed.
Place of Publication:
Hoboken, NJ : Wiley, c2010.
Language Note:
English
Summary:
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses i
Contents:
PHARMACEUTICAL DATA MINING; CONTENTS; PREFACE; ACKNOWLEDGMENTS; CONTRIBUTORS; PART I DATA MINING IN THE PHARMACEUTICAL INDUSTRY: A GENERAL OVERVIEW; 1 A History of the Development of Data Mining in Pharmaceutical Research; 2 Drug Gold and Data Dragons: Myths and Realities of Data Mining in the Pharmaceutical Industry; 3 Application of Data Mining Algorithms in Pharmaceutical Research and Development; PART II CHEMOINFORMATICS-BASED APPLICATIONS; 4 Data Mining Approaches for Compound Selection and Iterative Screening; 5 Prediction of Toxic Effects of Pharmaceutical Agents
6 Chemogenomics-Based Design of GPCR-Targeted Libraries Using Data Mining Techniques7 Mining High-Throughput Screening Data by Novel Knowledge-Based Optimization Analysis; PART III BIOINFORMATICS-BASED APPLICATIONS; 8 Mining DNA Microarray Gene Expression Data; 9 Bioinformatics Approaches for Analysis of Protein-Ligand Interactions; 10 Analysis of Toxicogenomic Databases; 11 Bridging the Pharmaceutical Shortfall: Informatics Approaches to the Discovery of Vaccines, Antigens, Epitopes, and Adjuvants; PART IV DATA MINING METHODS IN CLINICAL DEVELOPMENT; 12 Data Mining in Pharmacovigilance
13 Data Mining Methods as Tools for Predicting Individual Drug Response14 Data Mining Methods in Pharmaceutical Formulation; PART V DATA MINING ALGORITHMS AND TECHNOLOGIES; 15 Dimensionality Reduction Techniques for Pharmaceutical Data Mining; 16 Advanced Artificial Intelligence Methods Used in the Design of Pharmaceutical Agents; 17 Databases for Chemical and Biological Information; 18 Mining Chemical Structural Information from the Literature; INDEX
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on metadata supplied by the publisher and other sources.
ISBN:
9786612455421
9781282455429
1282455427
9780470567623
0470567627
9780470567616
0470567619
OCLC:
587398917

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