02772nam 2200673 450 991082536530332120200520144314.03-527-65600-63-527-65598-03-527-65601-4(CKB)2550000001123453(EBL)1420233(OCoLC)862830262(SSID)ssj0001155640(PQKBManifestationID)11751495(PQKBTitleCode)TC0001155640(PQKBWorkID)11187820(PQKB)11392294(MiAaPQ)EBC1420233(Au-PeEL)EBL1420233(CaPaEBR)ebr10768955(CaONFJC)MIL525170(PPN)178873616(EXLCZ)99255000000112345320131011h20142014 uy| 0engur|n|---|||||txtccrData mining in drug discovery /edited by Rémy D. Hoffmann, Arnaud Gohier, and Pavel PospisilWeinheim :Wiley-VCH,[2014]©20141 online resource (347 p.)Methods and principles in medicinal chemistry ;vol. 57Description based upon print version of record.3-527-32984-6 1-299-93919-8 Includes bibliographical references and index.part one. Data sources -- part two. Analysis and enrichment -- part three. Applications to polypharmacology -- part four. system biology approaches. 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. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data miningMethods and principles in medicinal chemistry ;v. 57.Drug developmentComputer simulationData miningDrugsResearchDrug developmentComputer simulation.Data mining.DrugsResearch.615.102856312Hoffmann Rémy D1688124Gohier Arnaud1688125Pospisil Pavel1688126MiAaPQMiAaPQMiAaPQBOOK9910825365303321Data mining in drug discovery4062105UNINA