Structure-activity relationships of a steroid family using quantum similarity measures and topological quantum similarity indices

被引:72
|
作者
Lobato, M [1 ]
Amat, L [1 ]
Besalú, E [1 ]
Carbó-Dorca, R [1 ]
机构
[1] Univ Girona, Inst Computat Chem, E-17071 Girona, Catalonia, Spain
来源
关键词
atomic shell approximation (ASA); corticosteroid binding globulin (CBG); molecular quantum similarity indices (MQSI); molecular quantum similarity measures (MQSM); multilinear regression (MLR); principal component analysis (PCA); quantitative structure-activity relationships (QSAR); topological matrix (TM); topological quantum similarity indices (TQSI);
D O I
10.1002/qsar.19970160605
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
This work will try to study an application example of quantum similarity measures, in order to determine quantitative relationships between the structure and biological activity for a family of steroids. The studied family is composed of 31 molecules, and the property analyzed is the affinity to the corticosteroid binding globulin receptor. Two methodologies have been chosen to perform QSAR on the mentioned steroid set. Both methodological frameworks are based on quantum similarity measures, the first one is based on the use of similarity indices as molecular descriptors and the second methodology uses quantum similarity topological indices for the same purpose. The use of molecular descriptors, obtained from quantum similarity topological indices constructs, constitutes a new technique developed recently in our laboratory to be used in QSAR in close relationship with the already explored field of quantum similarity measures. Results become comparable to other 3D-QSAR techniques.
引用
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页码:465 / 472
页数:8
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