Mode of action prediction of ligands of steroid hormone receptors
Author(s) -
Irina V. Fedyushkina,
I. V. Romero Reyes,
Alexey A. Lagunin,
V.S. Skvortsov
Publication year - 2013
Publication title -
biomeditsinskaya khimiya
Language(s) - English
Resource type - Journals
eISSN - 2310-6972
pISSN - 2310-6905
DOI - 10.18097/pbmc20135905591
Subject(s) - mineralocorticoid , steroid , steroid hormone , receptor , hormone , endocrinology , estrogen receptor , glucocorticoid receptor , chemistry , medicine , biology , biochemistry , cancer , breast cancer
The several predictive models based on two well-known methods PASS and SIMCA were created. These models predict a type of physiological response of steroid compounds binding to nuclear receptors of steroid hormones. We considered 10 variants: the agonists and the antagonists of estrogen, progesterone, androgen, glucocorticoid and mineralocorticoid receptors respectively. Two different sets of descriptors were used during SIMCA (the Dragon descriptors and indices of similarity). The results of discriminant analysis are good enough with average accuracy of 80-85%.
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