Unknown

Dataset Information

0

Molecular modeling on structure-function analysis of human progesterone receptor modulators.


ABSTRACT: Considering the significance of progesterone receptor (PR) modulators, the present study is explored to envisage the biophoric signals for binding to selective PR subtype-A using ligand-based quantitative structure activity relationship (QSAR) and pharmacophore space modeling studies on nonsteroidal substituted quinoline and cyclocymopol monomethyl ether derivatives. Consensus QSAR models (Training set (Tr): n(Tr)=100, R(2) (pred)=0.702; test set (Ts): n(Ts)=30, R(2) (pred)=0.705, R(2) (m)=0.635; validation set (Vs): n(Vs)=40, R(2) (pred)=0.715, R(2) (m)=0.680) suggest that molecular topology, atomic polarizability and electronegativity, atomic mass and van der Waals volume of the ligands have influence on the presence of functional atoms (F, Cl, N and O) and consequently contribute significant relations on ligand binding affinity. Receptor independent space modeling study (Tr: n(Tr)=26, Q(2)=0.927; Ts: n(Ts)=60, R(2) (pred)=0.613, R(2) (m)=0.545; Vs: n(Vs)=84, R(2) (pred)=0.611, R(2) (m)=0.507) indicates the importance of aromatic ring, hydrogen bond donor, molecular hydrophobicity and steric influence for receptor binding. The structure-function characterization is adjudged with the receptor-based docking study, explaining the significance of the mapped molecular attributes for ligand-receptor interaction in the catalytic cleft of PR-A.

SUBMITTER: Pal R 

PROVIDER: S-EPMC3163366 | biostudies-literature | 2011 Jul-Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Molecular modeling on structure-function analysis of human progesterone receptor modulators.

Pal Ria R   Islam Md Ataul MA   Hossain Tabassum T   Saha Achintya A  

Scientia pharmaceutica 20110630 3


Considering the significance of progesterone receptor (PR) modulators, the present study is explored to envisage the biophoric signals for binding to selective PR subtype-A using ligand-based quantitative structure activity relationship (QSAR) and pharmacophore space modeling studies on nonsteroidal substituted quinoline and cyclocymopol monomethyl ether derivatives. Consensus QSAR models (Training set (Tr): n(Tr)=100, R(2) (pred)=0.702; test set (Ts): n(Ts)=30, R(2) (pred)=0.705, R(2) (m)=0.635  ...[more]

Similar Datasets

| S-EPMC7354704 | biostudies-literature
| S-EPMC6478099 | biostudies-literature
| S-EPMC8659360 | biostudies-literature
| S-EPMC7112887 | biostudies-literature
| S-EPMC2753774 | biostudies-literature
| S-EPMC2635926 | biostudies-literature
| S-EPMC3169952 | biostudies-literature
| S-EPMC3199944 | biostudies-literature
| S-EPMC1305108 | biostudies-literature
| S-EPMC7144723 | biostudies-literature