LEADER 02772nam 2200673 450 001 9910825365303321 005 20200520144314.0 010 $a3-527-65600-6 010 $a3-527-65598-0 010 $a3-527-65601-4 035 $a(CKB)2550000001123453 035 $a(EBL)1420233 035 $a(OCoLC)862830262 035 $a(SSID)ssj0001155640 035 $a(PQKBManifestationID)11751495 035 $a(PQKBTitleCode)TC0001155640 035 $a(PQKBWorkID)11187820 035 $a(PQKB)11392294 035 $a(MiAaPQ)EBC1420233 035 $a(Au-PeEL)EBL1420233 035 $a(CaPaEBR)ebr10768955 035 $a(CaONFJC)MIL525170 035 $a(PPN)178873616 035 $a(EXLCZ)992550000001123453 100 $a20131011h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aData mining in drug discovery /$fedited by Re?my D. Hoffmann, Arnaud Gohier, and Pavel Pospisil 210 1$aWeinheim :$cWiley-VCH,$d[2014] 210 4$dİ2014 215 $a1 online resource (347 p.) 225 1 $aMethods and principles in medicinal chemistry ;$vvol. 57 300 $aDescription based upon print version of record. 311 $a3-527-32984-6 311 $a1-299-93919-8 320 $aIncludes bibliographical references and index. 327 $apart one. Data sources -- part two. Analysis and enrichment -- part three. Applications to polypharmacology -- part four. system biology approaches. 330 $a Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining 410 0$aMethods and principles in medicinal chemistry ;$vv. 57. 606 $aDrug development$xComputer simulation 606 $aData mining 606 $aDrugs$xResearch 615 0$aDrug development$xComputer simulation. 615 0$aData mining. 615 0$aDrugs$xResearch. 676 $a615.102856312 701 $aHoffmann$b Re?my D$01688124 701 $aGohier$b Arnaud$01688125 701 $aPospisil$b Pavel$01688126 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910825365303321 996 $aData mining in drug discovery$94062105 997 $aUNINA