QSAR study of steroid benchmark and dipeptides based on MEDV-13

被引:82
作者
Liu, SS [1 ]
Yin, CS
Li, ZL
Cai, SX
机构
[1] Chongqing Univ, Coll Bioengn, Chongqing 400044, Peoples R China
[2] Univ Sci & Technol China, Struct Biol Lab, Hefei 230026, Peoples R China
[3] Univ Sci & Technol China, Dept Appl Chem, Hefei 230026, Peoples R China
[4] Guilin Inst Technol, Dept Appl Chem, Guilin 541004, Guangxi Prov, Peoples R China
来源
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2001年 / 41卷 / 02期
关键词
D O I
10.1021/ci0003350
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A molecular electronegativity distance vector based on 13 atomic types, called MEDV-13, is a descriptor for predicting the biological activities of molecules based on the quantitative structure-activity relations (QSAR). The MEDV-13 uses a modified electrotopological state (E-state) index to substitute for the relative eletronegativity (q) of non-hydrogen atoms in the molecule of interest in the MEDV and a topological distance for the relative distance (d) in the MEDV. For an organic molecule containing several chemical elements such as C, H, O, N, S, F, Cl, Br, I, and P, the MEDV-13 includes at best 91 descriptors. Then it is essential to employ a principal component regression (PCR) technique to derive a QSAR model relating the biological activities to the MEDV-13. The MEDV-13 is used to study the QSAR of the corticosteroid-binding globulin (CBG) binding affinity of the steroids and the activity inhibiting angiotensin-converting enzyme (ACE) of dipeptides, and resulting models have a comparable quality to the current three-dimensional (3D) methods such as CoMFA though the MEDV-13 is a descriptor based on two-dimensional topological information.
引用
收藏
页码:321 / 329
页数:9
相关论文
共 35 条
[1]   Atom level electrotopological state indexes in QSAR: Designing and testing antithyroid agents [J].
AbouShaaban, RRA ;
AlKhamees, HA ;
AbouAuda, HS ;
Simonelli, AP .
PHARMACEUTICAL RESEARCH, 1996, 13 (01) :129-136
[2]   PREDICTIVE ABILITY OF REGRESSION-MODELS .2. SELECTION OF THE BEST PREDICTIVE PLS MODEL [J].
BARONI, M ;
CLEMENTI, S ;
CRUCIANI, G ;
COSTANTINO, G ;
RIGANELLI, D ;
OBERRAUCH, E .
JOURNAL OF CHEMOMETRICS, 1992, 6 (06) :347-356
[3]   MOLECULAR SIMILARITY-MATRICES AND QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS - A CASE-STUDY WITH METHODOLOGICAL IMPLICATIONS [J].
BENIGNI, R ;
COTTARAMUSINO, M ;
GIORGI, F ;
GALLO, G .
JOURNAL OF MEDICINAL CHEMISTRY, 1995, 38 (04) :629-635
[4]   MS-WHIM, new 3D theoretical descriptors derived from molecular surface properties: A comparative 3D QSAR study in a series of steroids [J].
Bravi, G ;
Gancia, E ;
Mascagni, P ;
Pegna, M ;
Todeschini, R ;
Zaliani, A .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1997, 11 (01) :79-92
[5]   Application of the electrotopological state index to QSAR analysis of flavone derivatives as HIV-1 integrase inhibitors [J].
Buolamwini, JK ;
Raghavan, K ;
Fesen, MR ;
Pommier, Y ;
Kohn, KW ;
Weinstein, JN .
PHARMACEUTICAL RESEARCH, 1996, 13 (12) :1892-1895
[6]   THE APPLICATION OF MOLECULAR SIMILARITY CALCULATIONS [J].
BURT, C ;
RICHARDS, WG ;
HUXLEY, P .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1990, 11 (10) :1139-1146
[7]   HOW SIMILAR IS A MOLECULE TO ANOTHER - AN ELECTRON-DENSITY MEASURE OF SIMILARITY BETWEEN 2 MOLECULAR-STRUCTURES [J].
CARBO, R ;
LEYDA, L ;
ARNAU, M .
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 1980, 17 (06) :1185-1189
[8]   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
[9]   COMPARATIVE MOLECULAR-FIELD ANALYSIS USING GRID FORCE-FIELD AND GOLPE VARIABLE SELECTION METHODS IN A STUDY OF INHIBITORS OF GLYCOGEN-PHOSPHORYLASE-B [J].
CRUCIANI, G ;
WATSON, KA .
JOURNAL OF MEDICINAL CHEMISTRY, 1994, 37 (16) :2589-2601
[10]   QSAR modeling with the electrotopological state indices: Corticosteroids [J].
de Gregorio, C ;
Kier, LB ;
Hall, LH .
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 1998, 12 (06) :557-561