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016 7 a| 0164735562| Uk;

020 a| 9783527329847q| (print);

020 a| 3527329846q| (print);

020 z| 9783527656011q| (ePDF);

020 z| 9783527656004q| (ePub);

020 z| 9783527655991q| (mobi);

020 z| 9783527655984q| (oBook);

035 a| (WaSeSS)ssj0001155640;

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049 a| EREEa| NEHH;

050 00 a| RM301.25b| .D38 2014;

060 4 a| QV 745b| D272 2014;

082 04 a| 615.1028563122| 23;

245 00 a| Data mining in drug discoveryh| [electronic resource] /c| edited by Remy D. Hoffmann, Arnaud Gohier, and Pavel Pospisil.;

260 a| Weinheim, Germany :b| Wiley-VCH,c| [2014];

300 a| xxii, 323 pages :b| illustrations ;c| 24 cm.;

490 0 a| Methods and principles in medicinal chemistry ;v| volume 57;

504 a| Includes bibliographical references and index.;

505 0 a| Part one. Data sources -- part two. Analysis and enrichment -- part three. Applications to polypharmacology -- part four. system biology approaches.;

506 a| Available only to authorized users.;

520 a| Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine.;

538 a| Mode of access: World Wide Web;

540 a| Current copyright fee: GBP28.00c| 35\0.5| Uk;

650 0 a| Drugsx| Research.=| ^A47379;

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

650 0 a| Drug developmentx| Computer simulation.=| ^A443888;

650 0 a| Drugs.=| ^A640;

650 2 a| Drug Discoveryx| methods=| ^A1023263;

650 2 a| Data Mining=| ^A1023265;

650 2 a| Pharmaceutical Preparations=| ^A936576;

650 6 a| Médicamentsx| Recherche.;

650 6 a| Exploration de données (Informatique);

650 6 a| Médicamentsx| Développementx| Simulation par ordinateur.;

650 6 a| Médicaments.;

650 7 a| Drugs2| fast;

650 7 a| Data mining2| fast;

650 7 a| Drugsx| Research2| fast;

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

700 1 a| Hoffmann, Rémy D.?| UNAUTHORIZED;

700 1 a| Gohier, Arnaud.?| UNAUTHORIZED;

700 1 a| Pospisil, Pavel.?| UNAUTHORIZED;

758 i| has work:a| Data mining in drug discovery (Text)1| https://id.oclc.org/worldcat/entity/E39PCFBjCr7whThTytP3tC8jYP4| https://id.oclc.org/worldcat/ontology/hasWork;

830 0 a| Methods and principles in medicinal chemistry ;v| v. 57.=| ^A702288;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1420233;

947 a| (OCoLC)ocn863040744;

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Data mining in drug discovery / edited by Remy D. Hoffmann, Arnaud Gohier, and Pavel Pospisil.

Other author	Hoffmann, Rémy D.
Other author	Gohier, Arnaud.
Other author	Pospisil, Pavel.
Format	Electronic
Publication Info	Weinheim, Germany : Wiley-VCH, [2014]
Description	xxii, 323 pages : illustrations ; 24 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Drugs--Research. Data mining. Drug development--Computer simulation. Drugs. Drug Discovery--methods. Data Mining Pharmaceutical Preparations Médicaments--Recherche. Exploration de données (Informatique) Médicaments--Développement. --Simulation par ordinateur. Médicaments.

Series	Methods and principles in medicinal chemistry ; volume 57 Methods and principles in medicinal chemistry ; v. 57. ^A702288
Contents	Part one. Data sources -- part two. Analysis and enrichment -- part three. Applications to polypharmacology -- part four. system biology approaches.
Abstract	Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Terms of use	Current copyright fee: GBP28.00 35\0.
Genre/form	Electronic books.
LCCN	2023496424
ISBN	9783527329847 (print)
ISBN	3527329846 (print)
ISBN	(ePDF)
ISBN	(ePub)
ISBN	(mobi)
ISBN	(oBook)

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Data mining in drug discovery / edited by Remy D. Hoffmann, Arnaud Gohier, and Pavel Pospisil.

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