02487nam 2200577 a 450 991100476540332120200520144314.01-62198-140-11-84973-341-4(CKB)2670000000130809(EBL)1185422(OCoLC)798795445(SSID)ssj0000667216(PQKBManifestationID)12310063(PQKBTitleCode)TC0000667216(PQKBWorkID)10674434(PQKB)11107576(MiAaPQ)EBC1185422(PPN)198476175(MiAaPQ)EBC7424635(Au-PeEL)EBL7424635(EXLCZ)99267000000013080920121212d2012 uy 0engur|n|---|||||txtccrDrug design strategies quantitative approaches /edited by David J. Livingstone, Andrew M. Davis1st ed.Cambridge RSC Pub.20121 online resource (517 p.)RSC drug discovery series,2041-3203 ;no. 13Description based upon print version of record.1-84973-166-7 Includes bibliographical references and index.i-iv; v-vi; vii-xviii; 1-34; 35-59; 60-87; 88-107; 108-163; 164-191; 192-219; 267-278; 220-241; 242-266; 279-311; 312-344; 345-366; 367-396; 397-439; 440-457; 458-478; 479-498This book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatics and systems biology. The aim of the book is to show how various facets of the drug discovery process can be addressed in a quantitative fashion (ie: numerical analysis to enable robust predictions to be made). Each chapter includes a brief review of the topic showing the historical development ofRSC drug discovery series ;13.DrugsDesignComputer simulationDrugsDesignComputer simulation.615.19Livingstone D(David)862758Davis Andrew M1822377MiAaPQMiAaPQMiAaPQBOOK9911004765403321Drug design strategies4388535UNINA