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Molecular Modeling of Small Molecules as BVDV RNA-Dependemt RNA Polymerase Allosteric Inhibitors

机译:小分子作为BVDV RNA依赖RNA聚合酶变构抑制剂的分子建模。

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Bovine viral diarrhea virus (BVDV), a major pathogen of cattle, is a well-characterized pestivirus which has been used as a good model virus for HCV. The RNA-dependent RNA polymerase (RdRp) plays a key role in the RNA replication process, thus it has been targeted for antivirus drugs. We employed two-dimensional quantitative structure-activity relationship (2D-QSAR) and molecular field analysis (MFA) to identify the molecular substructure requirements, and the particular characteristics resulted in increased inhibitory activity for the known series of compounds to act as effective BVDV inhibitors. The 2D-QSAR study provided the rationale concept for changes in the structure to have more potent analogs focused on the class of arylazoenamines, benzimidazoles, and acridine derivatives with an optimal subset of descriptors, which have significantly contributed to overall anti-BVDV activity. MFA represented the molecular patterns responsible for the actions of antiviral compound at their receptors. We conclude that the polarity and the polarizability of a molecule play a main role in the inhibitory activity of BVDV inhibitors in the QSAR modeling.
机译:牛病毒性腹泻病毒(BVDV)是牛的主要病原体,是一种特征明确的瘟病毒,已被用作HCV的良好模型病毒。 RNA依赖性RNA聚合酶(RdRp)在RNA复制过程中起关键作用,因此已成为抗病毒药物的目标。我们采用了二维定量构效关系(2D-QSAR)和分子场分析(MFA)来确定分子亚结构的要求,其特殊的特性导致已知系列化合物作为有效的BVDV抑制剂的抑制活性增加。 2D-QSAR研究为改变结构提供了合理的概念,使更有效的类似物集中于具有最佳描述符子集的芳基偶氮胺,苯并咪唑和a啶衍生物的种类,这对总体抗BVDV活性有重要贡献。 MFA代表负责抗病毒化合物在其受体作用的分子模式。我们得出结论,在QSAR建模中,分子的极性和极化性在BVDV抑制剂的抑制活性中起主要作用。

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