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100   $a20121212d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aDrug design strategies $equantitative approaches /$fedited by David J. Livingstone, Andrew M. Davis
205   $a1st ed.
210   $aCambridge $cRSC Pub.$d2012
215   $a1 online resource (517 p.)
225 1 $aRSC drug discovery series,$x2041-3203 ;$vno. 13
300   $aDescription based upon print version of record.
311   $a1-84973-166-7 
320   $aIncludes bibliographical references and index.
327   $ai-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; 479-498
330   $aThis book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatics and systems biology. The aim of the book is to show how various facets of the drug discovery process can be addressed in a quantitative fashion (ie: numerical analysis to enable robust predictions to be made). Each chapter includes a brief review of the topic showing the historical development of
410  0$aRSC drug discovery series ;$v13.
606   $aDrugs$xDesign$xComputer simulation
615  0$aDrugs$xDesign$xComputer simulation.
676   $a615.19
701   $aLivingstone$b D$g(David)$0862758
701   $aDavis$b Andrew M$01822377
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911004765403321
996   $aDrug design strategies$94388535
997   $aUNINA