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药效团建模、耐药突变体分离、对接和 MM-PBSA 分析:鉴定牛病毒性腹泻病毒 (BVDV) 新型抑制剂的实验/计算机辅助综合方法。

Pharmacophore modeling, resistant mutant isolation, docking, and MM-PBSA analysis: Combined experimental/computer-assisted approaches to identify new inhibitors of the bovine viral diarrhea virus (BVDV).

机构信息

Deparment of Pharmaceutical Sciences, University of Genoa, Viale Benedetto XV 3, 16132 Genova, Italy.

Department of Biomedical Sciences and Technologies, University of Cagliari, Cittadella Universitaria, 09042 Monserrato (Cagliari), Italy.

出版信息

Bioorg Med Chem. 2010 Mar 15;18(6):2304-2316. doi: 10.1016/j.bmc.2010.01.058. Epub 2010 Jan 29.

DOI:10.1016/j.bmc.2010.01.058
PMID:20189812
Abstract

Starting from a series of our new 2-phenylbenzimidazole derivatives, shown to be selectively and potently active against the bovine viral diarrhea virus (BVDV), we developed a hierarchical combined experimental/molecular modeling strategy to explore the drug leads for the BVDV RNA-dependent RNA-polymerase. Accordingly, a successful 3D pharmacophore model was developed, characterized by distinct chemical features that may be responsible for the activity of the inhibitors. BVDV mutants resistant to lead compounds in our series were then isolated, and the mutant residues on the viral molecular target, the RNA-dependent RNA-polymerase, were identified. Docking procedures upon pharmacophoric constraints and mutational data were carried out, and the binding affinity of all active compounds for the RdRp were estimated. Given the excellent agreement between in silico and in vitro data, this procedure is currently being employed in the design a new series of more selective and potent BVDV inhibitors.

摘要

从一系列新型的 2-苯基苯并咪唑衍生物开始,这些衍生物被证明对牛病毒性腹泻病毒(BVDV)具有选择性和高效的活性,我们开发了一种分层的组合实验/分子建模策略,以探索 BVDV RNA 依赖性 RNA 聚合酶的药物先导物。相应地,开发了一个成功的 3D 药效团模型,其特征在于独特的化学特征,这些特征可能是抑制剂活性的原因。然后分离出对我们系列中先导化合物具有抗性的 BVDV 突变体,并鉴定出病毒分子靶标 RNA 依赖性 RNA 聚合酶上的突变残基。在药效团约束和突变数据的基础上进行对接程序,并估计所有活性化合物与 RdRp 的结合亲和力。鉴于计算和体外数据之间的极好一致性,目前正在采用该程序设计一系列更具选择性和更强效的 BVDV 抑制剂。

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