QSAR and ADME

被引:144
作者
Hansch, C [1 ]
Leo, A
Mekapati, SB
Kurup, A
机构
[1] Pomona Coll, Dept Chem, Claremont, CA 91711 USA
[2] BioByte Corp, Claremont, CA 91711 USA
关键词
D O I
10.1016/j.bmc.2003.11.037
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The prediction from structure of ADME (absorption, distribution, metabolism, elimination) of drug candidates is an important goal to achieve since it can considerably reduce the cost of drug development. Using our database of 10,700 QSAR, we are now reaching the point where we can make many useful comparisons that illustrate how ADME is a practical way to describe the way organic compounds react with living systems. We also show that Caco-2 cells are useful to model absorption, but the most generally useful parameter is the octanol/water partition coefficient. It should be noted, however, that in our opinion, an in silico prediction of ADME is still a long way in the future. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3391 / 3400
页数:10
相关论文
共 17 条
[11]   QUANTITATIVE RELATIONSHIPS BETWEEN STRUCTURE AND PHARMACOKINETICS OF BETA-ADRENOCEPTOR BLOCKING-AGENTS IN MAN [J].
HINDERLING, PH ;
SCHMIDLIN, O ;
SEYDEL, JK .
JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 1984, 12 (03) :263-287
[12]   Predicting caco-2 cell permeation coefficients of organic molecules using membrane-interaction QSAR analysis [J].
Kulkarni, A ;
Han, Y ;
Hopfinger, AJ .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2002, 42 (02) :331-342
[13]   Quantitative structure-pharmacokinetics relationships: II. A mechanistically based model to evaluate the relationship between tissue distribution parameters and compound lipophilicity [J].
Nestorov, I ;
Aarons, L ;
Rowland, M .
JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 1998, 26 (05) :521-545
[14]  
Tantishaiyakul V, 2001, PHARMAZIE, V56, P407
[15]   ADMET in silico modelling:: Towards prediction paradise? [J].
van de Waterbeemd, H ;
Gifford, E .
NATURE REVIEWS DRUG DISCOVERY, 2003, 2 (03) :192-204
[16]   The "latent membrane permeability" concept: QSPR analysis of inter/intralaboratorically variable Caco-2 permeability [J].
Yamashita, F ;
Fujiwara, S ;
Hashida, M .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2002, 42 (02) :408-413
[17]  
YAMAZAKI M, 1968, CHEM PHARM BULL, V16, P721