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Computational Study Exploring the Interaction Mechanism of Benzimidazole Derivatives as Potent Cattle Bovine Viral Diarrhea Virus Inhibitors

机译:计算研究苯并咪唑衍生物作为牛牛病毒性腹泻病毒抑制剂的相互作用机理的计算研究

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Bovine viral diarrhea virus (BVDV) infections are prevailing in cattle populations on a worldwide scale. The BVDV RNA-dependent RNA polymerase (RdRp), as a promising target for new anti-BVDV drug development, has attracted increasing attention. To explore the interaction mechanism of 65 benzimidazole scaffold-based derivatives as BVDV inhibitors, presently, a computational study was performed based on a combination of 3D-QSAR, molecular docking, and molecular dynamics (MD) simulations. The resultant optimum CoMFA and CoMSIA models present proper reliabilities and strong predictive abilities (with Q(2) = 0.64, R-ncv(2) = 0.93, R-pred(2) = 0.80 and Q(2) = 0.65, R-ncv(2) = 0.98, R-pred(2) = 0.86, respectively). In addition, there was good concordance between these models, molecular docking, and MD results. Moreover, the MM-PBSA energy analysis reveals that the major driving force for ligand binding is the polar solvation contribution term. Hopefully, these models and the obtained findings could offer better understanding of the interaction mechanism of BVDV inhibitors as well as benefit the new discovery of more potent BVDV inhibitors.
机译:牛病毒性腹泻病毒(BVDV)感染在全球范围内的牛群中普遍存在。 BVDV RNA依赖的RNA聚合酶(RdRp),作为抗BVDV新药开发的有希望的目标,已引起越来越多的关注。为了探索65种苯并咪唑支架基衍生物作为BVDV抑制剂的相互作用机理,目前,结合3D-QSAR,分子对接和分子动力学(MD)模拟进行了计算研究。所得的最佳CoMFA和CoMSIA模型呈现出适当的可靠性和强大的预测能力(Q(2)= 0.64,R-ncv(2)= 0.93,R-pred(2)= 0.80和Q(2)= 0.65,R- ncv(2)= 0.98,R-pred(2)= 0.86)。此外,这些模型,分子对接和MD结果之间存在良好的一致性。此外,MM-PBSA能量分析显示,配体结合的主要驱动力是极性溶剂化作用项。希望这些模型和所获得的发现可以提供对BVDV抑制剂相互作用机制的更好理解,并有助于新发现更有效的BVDV抑制剂。

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