Computational Modeling and Molecular dynamics Simulations of Thiazolino 2-pyridone amide analog compounds as Chlamydia trachomatis inhibitor

Document Type : Research Article

Authors

1 Department of Pure and Applied Chemistry, University of Maiduguri, Borno State, Nigeria

2 Department of Chemistry, Ahmadu Bello University, Zaria, Nigeria

Abstract

Computer-aided drug screening by 2D-QSAR, CoMFA, molecular docking, and molecular dynamics (MD) simulation may provide an effective approach to identifying promising drug repurposing candidates for Chlamydia trachomatis treatment. In this analysis, molecular descriptors were used to achieve a statistically momentous 2D-QSAR model (R2 = 0.637; Q2 = 0.5388). The 2D-QSAR model’s robustness was considered by the internal leave-one-out cross-validated regression coefficient values (Q2) and the training set values [(r^2-r0^2)/r^2]. Between the experimental and predicted pIC50 value, the overall standard deviation error of prediction (SDEP) was 0.2448, showing strong 2D-QSAR model predictability. The QSAR model was able to systematically predict anti-bacterial behavior with an R2pred value of 0.506 for the external data set 9 of the thiazolino 2-pyridone amide derivative. Comparative molecular field analysis (CoMFA (FFDSEL) Q2LOO = 0.238, R2 = 0.943) and CoMFA (UVEPLS) (Q2LOO = 0.553, R2 = 0.943) were used. CoMFA (UVEPLS) had strong certification and prediction capabilities. We analyzed the binding effect of the derivatives, where compounds 29 and 31 have the least binding energy. Compounds 29 and 31 interact with main active site residues, including Glu154, Leu142, His87, Arg150, Phe151, Asn138, Gly141, His88, Ile137, Cys85 and 145, respectively, through the binding interaction modes of the molecular docking inhibitor sequence. Further molecular dynamics simulations (MD) were performed on both compounds, and their potential binding modes were explored. Glu154, Phe151, Arg150, Asn138, Gly141, Cys145, and Ile137 have been found to play a key role in stabilizing inhibitors. Besides, the prediction of a golden triangle for the series was carried out. The findings will provide useful guidance in the future for the design of new inhibitors of Chlamydia trachomatis.

Graphical Abstract

Computational Modeling and Molecular dynamics Simulations of Thiazolino 2-pyridone amide analog compounds as Chlamydia trachomatis inhibitor

Keywords

Main Subjects


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