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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Combined 3D-QSAR, molecular docking and molecular dynamics study on the benzimidazole inhibitors targeting HCV NS5B polymerase
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Combined 3D-QSAR, molecular docking and molecular dynamics study on the benzimidazole inhibitors targeting HCV NS5B polymerase

机译:鉴定HCV NS5B聚合酶的苯并咪唑抑制剂组合3D-QSAR,分子对接和分子动力学研究

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The hepatitis C virus (HCV)-infected population has continued to grow during recent years, and novel HCV antiviral agents are urgently needed. In this work, a combined theoretical study was performed on the HCV non-structural 5B (NS5B) polymerase and 53 benzimidazole inhibitors. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were carried out with ligand-based and receptor-based alignments. Ligand-based QSAR models (cross-validated q(2) of 0.918 for CoMFA and 0.825 for CoMSIA) were found to be superior to receptor-based approaches (cross-validated q(2) of 0.765 for CoMFA and 0.740 for CoMSIA). Based on the most predictive CoMFA and CoMSIA models, the structural features that were essential for the inhibitory activity of benzimidazoles were characterized. A molecular dynamics study revealed that the induced fit effect between NS5B and its substrate may be responsible for the inferiority of the receptor-based CoMFA and CoMSIA models. The binding-free energy calculated using the MM/PBSA method correlated well with the experimental results and revealed that the van der Waals and electrostatic interactions most contributed to the binding. In addition, energetically favorable NS5B residues were identified by the per-residue decomposition of binding-free energy. The results presented in this work provide meaningful information for the design of novel benzimidazole inhibitors targeting the NS5B polymerase.
机译:乙型肝炎病毒(HCV) - 近年来持续增长,迫切需要新型HCV抗病毒剂。在这项工作中,对HCV非结构5B(NS5B)聚合酶和53个苯并咪唑抑制剂进行了组合的理论研究。比较分子场分析(COMFA)和比较分子相似性指数分析(COMSIA)与基于配体和基于受体的对准进行。发现基于配体的QSAR模型(​​COMFA的交叉验证Q(2)为0.918,COMSIA的0.825)将优于基于受体的方法(用于COMFA的0.765的交叉验证Q(2)和用于COMSIA的0.740)。基于最具预测的COMFA和COMSIA模型,表征了苯并咪唑抑制活性至关重要的结构特征。分子动力学研究表明,NS5B及其底物之间的诱导效应可能负责受体的COMFA和COMSIA模型的劣势。使用MM / PBSA方法计算的无结合能量与实验结果相比好,并揭示了van der Wa的和静电相互作用最有助于结合。此外,通过对无结合能量的每残基分解鉴定出高度有利的NS5B残基。本作作品中提出的结果为靶向NS5B聚合酶的新苯并咪唑抑制剂的设计提供了有意义的信息。

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