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AutoGPA-Based 3D-QSAR Modeling and Molecular Docking Study on Factor Xa Inhibitors as Anticoagulant Agents

Authors :
Guo Fang Yuan
Yan Qing Yin
Lin Keni
Hong Wei Yong
Yang Gen Sheng
Source :
MATEC Web of Conferences, Vol 44, p 02018 (2016)
Publication Year :
2016
Publisher :
EDP Sciences, 2016.

Abstract

The three-dimensional-quantitative structure activity relationship (3D-QSAR) studies were performed on a series of direct factor Xa (FXa) inhibitors using AutoGPA-based modeling method in this paper. A training set of 38 molecules and a test set containing 10 molecules were used to build the 3D-QSAR model and validate the derived model, respectively. The developed model with correlation coefficients (r2) of 0.8564 and cross-validated correlation coefficients (q2) of 0.6721 were validated by an external test set of 10 molecules with predicted correlation coefficient (rpred2) of 0.6077. Docking study of FXa inhibitors and FXa active site was performed to check the induced pharmacophore query and comparative molecular field analysis (CoMFA) contour maps using MOE2012.10. It was proved to be coincidence with the interaction information between ligand and FXa active site and was rendered to provide a useful tool to improve FXa inhibitors.

Details

Language :
English, French
ISSN :
2261236X
Volume :
44
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.7922a0d5e9ff4a139b9076e5ec680c72
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/20164402018