Topomer CoMFA: A design methodology for rapid lead optimization

被引:188
作者
Cramer, RD [1 ]
机构
[1] Tripos Inc, St Louis, MO 63144 USA
关键词
D O I
10.1021/jm020194o
中图分类号
R914 [药物化学];
学科分类号
100701 [药物化学];
摘要
To provide an objective QSAR methodology that might accelerate lead optimization, the CoMFA and topomer technologies have been merged, with surprisingly good results. A series of input structures are each broken into two or more fragments at central acyclic single bonds, while removing any core fragment structurally common to the entire series. Standard topomer 3D models are automatically constructed for each fragment, and a set of steric and electrostatic fields ("CoMFA column") is generated for each set of topomers. Application of "topomer CoMFA" to 15 3D-QSAR analyses taken from the literature (847 structures) were all successful, with an average q(2) of 0.520 (literature average q(2) = 0.636) and an average standard deviation of true prediction (SDEP) of 0.688 (literature average SDEP = 0.553) for 133 structures. Topomer CoMFA results are particularly promising as queries into virtual libraries already composed of topomer structures, to directly seek structures having increased potency. Accordingly, in 13 of the 15 such "topomer CoMFA searches" attempted, combinations of commercially offered fragments were retrieved that were predicted to be more potent than any structure described in the original publication (average predicted potency increase = 20 x), showing in principle how optimization could occur.
引用
收藏
页码:374 / 388
页数:15
相关论文
共 34 条
[1]
Toward general methods of targeted library design: Topomer shape similarity searching with diverse structures as queries [J].
Andrews, KM ;
Cramer, RD .
JOURNAL OF MEDICINAL CHEMISTRY, 2000, 43 (09) :1723-1740
[2]
Three-dimensional quantitative structure-activity relationship analyses using comparative molecular field analysis and comparative molecular similarity indices analysis to elucidate selectivity differences of inhibitors binding to trypsin, thrombin, and factor Xa [J].
Böhm, M ;
Stürzebecher, J ;
Klebe, G .
JOURNAL OF MEDICINAL CHEMISTRY, 1999, 42 (03) :458-477
[3]
Association of two 3D QSAR analyses. Application to the study of partial agonist serotonin-3 ligands [J].
Bureau, R ;
Daveu, C ;
Baglin, I ;
Santos, JSD ;
Lancelot, JC ;
Rault, S .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2001, 41 (03) :815-823
[4]
Comparative molecular field analysis and energy interaction studies of thrombin-inhibitor complexes [J].
Bursi, R ;
Grootenhuis, PDJ .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1999, 13 (03) :221-232
[5]
THE PROBABILITY OF CHANCE CORRELATION USING PARTIAL LEAST-SQUARES (PLS) [J].
CLARK, M ;
CRAMER, RD .
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS, 1993, 12 (02) :137-145
[6]
Bioisosterism as a molecular diversity descriptor: Steric fields of single ''topomeric'' conformers [J].
Cramer, RD ;
Clark, RD ;
Patterson, DE ;
Ferguson, AM .
JOURNAL OF MEDICINAL CHEMISTRY, 1996, 39 (16) :3060-3069
[7]
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
[8]
dbtop:: Toporner similarity searching of conventional structure databases [J].
Cramer, RD ;
Jilek, RJ ;
Andrews, KM .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2002, 20 (06) :447-462
[9]
COMPARATIVE MOLECULAR-FIELD ANALYSIS (COMFA) .1. EFFECT OF SHAPE ON BINDING OF STEROIDS TO CARRIER PROTEINS [J].
CRAMER, RD ;
PATTERSON, DE ;
BUNCE, JD .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1988, 110 (18) :5959-5967
[10]
CRAMER RD, 1993, 3D QSAR