Samanta Pabitra Narayan, Das Kalyan Kumar
Department of Chemistry, Physical Chemistry Section, Jadavpur University, Kolkata 700 032, India.
Department of Chemistry, Physical Chemistry Section, Jadavpur University, Kolkata 700 032, India.
J Mol Graph Model. 2017 Aug;75:294-305. doi: 10.1016/j.jmgm.2017.06.011. Epub 2017 Jun 8.
The therapeutic effectiveness of the catechol diether analogs against both the wild-type and drug-resistant reverse transcriptase (RT) mutants of HIV strains are investigated by performing molecular docking and hybrid ONIOM calculations. The docking protocol has been used to predict the binding modes of the non-nucleoside inhibitors inside the active site cavity of the viral enzymes. For each enzyme-inhibitor adduct, the predicted docked poses are assessed by employing different scoring function based programs. However, the docking protocol fails to explain satisfactorily the antiviral activities of the drug molecules. Two-layered ONIOM calculations have been carried out to compute the relative binding affinities of the catechol diether derivatives to the binding pockets of RT variants. The binding efficacies of the inhibitors are significantly suppressed by the Y181C and K103N mutations, as revealed by the computed interaction energies at the ONIOM [B3LYP/6-31G(d,p):PM6] level of theory. Deformation energies for each bound ligand conformer are also estimated. The nature of interactions between the drug molecules and the active site residues are analyzed from the reduced density gradient (RDG) isosurfaces. The simulated ECD spectra support the conformational adaption upon inhibitor binding in the binding pockets of HIV strains.
通过进行分子对接和混合ONIOM计算,研究了儿茶酚二醚类似物对HIV毒株野生型和耐药逆转录酶(RT)突变体的治疗效果。对接协议已用于预测非核苷抑制剂在病毒酶活性位点腔内的结合模式。对于每种酶 - 抑制剂加合物,通过使用基于不同评分函数的程序来评估预测的对接姿势。然而,对接协议未能令人满意地解释药物分子的抗病毒活性。已进行两层ONIOM计算以计算儿茶酚二醚衍生物与RT变体结合口袋的相对结合亲和力。如在ONIOM [B3LYP/6-31G(d,p):PM6]理论水平上计算的相互作用能所示,Y181C和K103N突变显著抑制了抑制剂的结合效率。还估计了每个结合配体构象的变形能。从降低密度梯度(RDG)等值面分析了药物分子与活性位点残基之间相互作用的性质。模拟的ECD光谱支持抑制剂在HIV毒株结合口袋中结合时的构象适应性。