Novel chirality descriptors derived from molecular topology

被引:122
作者
Golbraikh, A
Bonchev, D
Tropsha, A [1 ]
机构
[1] Univ N Carolina, Sch Pharm, Div Med Chem & Nat Prod, Lab Mol Modeling, Chapel Hill, NC 27599 USA
[2] Texas A&M Univ, Program Theory Complex Syst, Galveston, TX 77553 USA
来源
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2001年 / 41卷 / 01期
关键词
D O I
10.1021/ci000082a
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Several series of novel chirality descriptors of chemical organic molecules have been introduced. The descriptors have been developed on the basis of conventional topological descriptors of molecular graphs. They include modified molecular connectivity indices, Zagreb group indices, extended connectivity, overall connectivity, and topological charge indices. These modified descriptors make use of an additional term called chirality correction, which is added to the vertex degrees of asymmetric atoms in a molecular graph. Chirality descriptors can be real or complex numbers. Advantages and drawbacks of different series of chirality descriptors are discussed. These descriptors circumvent the inability of conventional topological indices to distinguish chiral or enantiomeric isomers, which so far has: been the major drawback of 2D descriptors as compared to true 3D descriptors (e.g., shape, molecular fields) of molecular structure. These novel chirality descriptors have been implemented in a quantitative structure-activity releationship (QSAR) study of a set of ecdysteroids with a high content of chiral and enantiomeric compounds using the k nearest neighbor QSAR method (kNN) recently developed in this laboratory. We show that the results of this study compare favorably with those obtained with the comparative molecular field analysis (CoMFA) applied to the same dataset. The novel chirality descriptors of molecular structure should find their applications in QSAR studies and related investigations of molecular sdatasets.
引用
收藏
页码:147 / 158
页数:12
相关论文
共 49 条
[1]   ISOMER DISCRIMINATION BY TOPOLOGICAL INFORMATION APPROACH [J].
BONCHEV, D ;
MEKENYAN, O ;
TRINAJSTIC, N .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1981, 2 (02) :127-148
[2]  
Bonchev D, 1997, SAR QSAR ENVIRON RES, V7, P23
[3]  
BONCHEV D, 1999, TOPOLOGICAL INDICES, P361
[4]   Comparative molecular field analysis-based prediction of drug affinities at recombinant D1A dopamine receptors [J].
Brusniak, MYK ;
Pearlman, RS ;
Neve, KA ;
Wilcox, RE .
JOURNAL OF MEDICINAL CHEMISTRY, 1996, 39 (04) :850-859
[5]  
Bucholtz EC, 1999, MED CHEM RES, V9, P675
[6]   Computational methods in molecular diversity and combinatorial chemistry [J].
Bures, MG ;
Martin, YC .
CURRENT OPINION IN CHEMICAL BIOLOGY, 1998, 2 (03) :376-380
[7]   ATOM PAIRS AS MOLECULAR-FEATURES IN STRUCTURE ACTIVITY STUDIES - DEFINITION AND APPLICATIONS [J].
CARHART, RE ;
SMITH, DH ;
VENKATARAGHAVAN, R .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1985, 25 (02) :64-73
[8]   CROSS-VALIDATED R(2)-GUIDED REGION SELECTION FOR COMPARATIVE MOLECULAR-FIELD ANALYSIS - A SIMPLE METHOD TO ACHIEVE CONSISTENT RESULTS [J].
CHO, SJ ;
TROPSHA, A .
JOURNAL OF MEDICINAL CHEMISTRY, 1995, 38 (07) :1060-1066
[9]   Structure-based alignment and comparative molecular field analysis of acetylcholinesterase inhibitors [J].
Cho, SJ ;
Garsia, MLS ;
Bier, J ;
Tropsha, A .
JOURNAL OF MEDICINAL CHEMISTRY, 1996, 39 (26) :5064-5071
[10]  
CLEMENTI S, 1995, GOLPE 3 0