Computer systems for the prediction of xenobiotic metabolism

被引:104
作者
Langowski, J [1 ]
Long, A [1 ]
机构
[1] Univ Leeds, LHASA Ltd, Sch Chem, Leeds LS2 9JT, W Yorkshire, England
关键词
camitro; COMPACT; expert system; META; MetabolExpert; METEOR; QSAR;
D O I
10.1016/S0169-409X(02)00011-X
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The aim of pharmaceutical research and development is to ensure a continuing pipeline of new chemical entities (NCEs) displaying high therapeutic efficacy with few or no side effects. Failure of promising lead candidates late in the drug discovery processes is regarded as commercially unacceptable in today's increasingly competitive business environment. An inappropriate ADME/Toxicity profile in humans is the major cause of failure of lead candidates in late clinical stages of drug development. Combinatorial chemistry techniques coupled with high throughput screening protocols means that pharmaceutical companies are now dealing with an unprecedented number of NCEs on an annual basis. As a consequence, screening for undesirable ADME/Toxicity properties in the early stages of drug development, preferably pre-synthesis, is now considered the essential paradigm. In silico assessment of NCEs is rapidly emerging as the next wave of technology for early ADME/Toxicity prediction. In this review, we discuss the major commercially available products for the assessing the potential metabolic activity of xenobiotic substances in mammalian systems. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:407 / 415
页数:9
相关论文
共 25 条
[1]  
[Anonymous], BIOTRANSFORMATIONS, DOI DOI 10.1517/17425255.4.6.697
[2]   PREDICTING METABOLIC PATHWAYS BY LOGIC PROGRAMMING [J].
DARVAS, F .
JOURNAL OF MOLECULAR GRAPHICS, 1988, 6 (02) :80-86
[3]  
Darvas F., 1987, QSAR ENV TOXICOLOGY, P71, DOI DOI 10.1007/978-94-009-3937-0_7
[4]  
Ekins S, 2001, DRUG METAB DISPOS, V29, P936
[5]   Knowledge-based expert systems for toxicity and metabolism prediction: DEREK, StAR and METEOR [J].
Greene, N ;
Judson, PN ;
Langowski, JJ ;
Marchant, CA .
SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 1999, 10 (2-3) :299-+
[6]  
GREENE N, 1999, DRUG METABOLISM DATA, P289
[7]   QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS OF CYTOCHROME-P-450 [J].
HANSCH, C ;
ZHANG, LT .
DRUG METABOLISM REVIEWS, 1993, 25 (1-2) :1-48
[8]   Using new reasoning technology in chemical information systems [J].
Judson, PN ;
Fox, J ;
Krause, PJ .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1996, 36 (04) :621-624
[9]   META .1. A PROGRAM FOR THE EVALUATION OF METABOLIC TRANSFORMATION OF CHEMICALS [J].
KLOPMAN, G ;
DIMAYUGA, M ;
TALAFOUS, J .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1994, 34 (06) :1320-1325
[10]   META 4. Prediction of the metabolism of polycyclic aromatic hydrocarbons [J].
Klopman, G ;
Tu, M ;
Fan, BT .
THEORETICAL CHEMISTRY ACCOUNTS, 1999, 102 (1-6) :33-38