[Molecular docking and 3D-QSAR on 16alpha,17alpha-cycloalkanoprogesterone analogues as progesterone receptor ligands].

A series of 42 steroid ligands was used to predict a binding affinity to progesterone receptor. The molecules were the derivatives of 16alpha,17alpha-cycloalkanoprogesterones. Different methods of prediction were used and analyzed such as CoMFA and artificial neural networks.

[Mode of action prediction of ligands of steroid hormone receptors].

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.

[Molecular modeling of interaction of 17(20)Z- and 17(20)E-pregna-5,17(20)-dien-21-oyl amides with the nuclear receptor LXRbeta].

Aiming the search of novel regulators of lipid metabolism and their potential targets, in this study we performed molecular modeling of eight isomeric 17(20)Z- and 17(20)E-pregna-5,17(20)-dien-21-oyl amides differing in structure of the amide moiety. Analysis of the low energy conformers revealed that all 17(20)E-isomers had three main energy minima (corresponding to values of the dihedral angle theta20,21 (C17 = C20-C21 = 0) to approximately 0 degrees, to approximately 120 degrees and to approximately 240 degrees), the most occupied minimum was found to correspond to theta20,21 to approximately 0 degrees; while 17(20)Z-isomers had either one or two pools of low energy conformations. Molecular docking of these compounds to the ligand-binding site of the nuclear receptor LXRbeta (a potential target) indicates high probability of binding for E-isomers and the absence of that for Z-isomers.