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245 00 a| Pharmaceutical data miningh| [electronic resource] :b| approaches and applications for drug discovery /c| edited by Konstantin V. Balakin.;

260 a| Hoboken, N.J. :b| Wiley,;

300 a| xvi, 561 p., [4] p. of plates :b| ill. (some col.) ;c| 25 cm.;

490 1 a| Wiley series on technologies for the pharmaceutical industry;

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 ... [et al.] -- Mining DNA microarray gene expression data / Paolo Magni -- Bioinformatics approaches for analysis of protein-ligand interactions / Munazah Andrabi ... [et al.] -- 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.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Pharmacology.=| ^A255;

650 0 a| Data mining.=| ^A408868;

650 0 a| Computational biology.=| ^A493305;

650 12 a| Drug Discoveryx| methods.=| ^A1023263;

650 22 a| Computational Biology.=| ^A933275;

650 22 a| Data Interpretation, Statistical.=| ^A925316;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Balakin, Konstantin V.?| UNAUTHORIZED;

830 0 a| Wiley series on technologies for the pharmaceutical industry.=| ^A789954;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=468872;

947 a| (OCoLC)ocn423572184;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4985550-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/8/2018x| EBOOKz| JERESOURCE;

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

Other author	Balakin, Konstantin V.
Format	Electronic
Publication Info	Hoboken, N.J. : Wiley,
Description	xvi, 561 p., [4] p. of plates : ill. (some col.) ; 25 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Pharmacology. Data mining. Computational biology. Drug Discovery--methods. Computational Biology. Data Interpretation, Statistical.

Series	Wiley series on technologies for the pharmaceutical industry Wiley series on technologies for the pharmaceutical industry. ^A789954
Contents	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 ... [et al.] -- Mining DNA microarray gene expression data / Paolo Magni -- Bioinformatics approaches for analysis of protein-ligand interactions / Munazah Andrabi ... [et al.] -- 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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2009026523
ISBN	9780470196083 (cloth)
ISBN	0470196084 (cloth)

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

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