Diversity measures for enhancing ADME admissibility of combinatorial libraries

被引:30
作者
Darvas, F [1 ]
Dormán, G [1 ]
Papp, A [1 ]
机构
[1] ConGenex Inc, H-1027 Budapest, Hungary
来源
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2000年 / 40卷 / 02期
关键词
D O I
10.1021/ci990268d
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
For general screening libraries, structural diversity descriptors and drug-likeness indicators still do not guarantee the in vivo bioavailability for the candidates, which is considered a major bottleneck in drug development. Early prediction of pharmacokinetics (log P, log D), metabolism, and toxicity makes it possible to deal with ADME (adsorption, distribution, metabolism, excretion) related diversity as an extension to the classical diversity concepts. It opens several new possibilities for optimization of a discovery library before doing any experimental. screening. This new diversity concept is demonstrated on a subset of MeDiverse, which is a diverse collection of pharmacologically relevant compounds selected From our in-house library. From consideration of the ADME interface in living systems, virtual secondary libraries of metabolites and retrometabolites (prodrugs) can be generated. These additional libraries readily enhance both the structural and ADME related diversity. This new opportunity in library design can substantially improve the success rate for in vivo lead generation from in vitro hits.
引用
收藏
页码:314 / 322
页数:9
相关论文
共 33 条
[1]  
Berman J, 1998, COMBINATORIAL CHEMISTRY AND MOLECULAR DIVERSITY IN DRUG DISCOVERY, P447
[2]  
BROTO P, 1984, EUR J MED CHEM, V19, P71
[3]  
Brown RD, 1997, PERSPECT DRUG DISCOV, V7-8, P31
[4]   Virtual compound libraries: A new approach to decision making in molecular discovery research [J].
Cramer, RD ;
Patterson, DE ;
Clark, RD ;
Soltanshahi, F ;
Lawless, MS .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1998, 38 (06) :1010-1023
[5]   Prediction of distribution coefficient from structure .1. Estimation method [J].
Csizmadia, F ;
TsantiliKakoulidou, A ;
Panderi, I ;
Darvas, F .
JOURNAL OF PHARMACEUTICAL SCIENCES, 1997, 86 (07) :865-871
[6]  
Csizmadia F., 1993, QSAR MOL MODELLING 9
[7]  
Darvas F, 1999, CHIM OGGI, V17, P10
[8]  
DARVAS F, 1999, C BOOK PREDICTIVE TO, P94
[9]  
DARVAS F, 1999, 2 C RETR BAS DRUG DE
[10]  
DARVAS F, 1998, CHI C STRAT TECHN ID