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首页> 外文期刊>International Journal of Molecular Sciences >Novel Hybrid Virtual Screening Protocol Based on Molecular Docking and Structure-Based Pharmacophore for Discovery of Methionyl-tRNA Synthetase Inhibitors as Antibacterial Agents
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Novel Hybrid Virtual Screening Protocol Based on Molecular Docking and Structure-Based Pharmacophore for Discovery of Methionyl-tRNA Synthetase Inhibitors as Antibacterial Agents

机译:基于分子对接和基于结构的药理基团的新型杂化虚拟筛选方案,用于发现甲硫基-tRNA合成酶抑制剂作为抗菌剂

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Methione tRNA synthetase (MetRS) is an essential enzyme involved in protein biosynthesis in all living organisms and is a potential antibacterial target. In the current study, the structure-based pharmacophore (SBP)-guided method has been suggested to generate a comprehensive pharmacophore of MetRS based on fourteen crystal structures of MetRS-inhibitor complexes. In this investigation, a hybrid protocol of a virtual screening method, comprised of pharmacophore model-based virtual screening (PBVS), rigid and flexible docking-based virtual screenings (DBVS), is used for retrieving new MetRS inhibitors from commercially available chemical databases. This hybrid virtual screening approach was then applied to screen the Specs (202,408 compounds) database, a structurally diverse chemical database. Fifteen hit compounds were selected from the final hits and shifted to experimental studies. These results may provide important information for further research of novel MetRS inhibitors as antibacterial agents.
机译:甲硫基tRNA合成酶(MetRS)是参与所有活生物体蛋白质生物合成的必需酶,并且是潜在的抗菌靶标。在当前的研究中,已提出基于结构的药效团(SBP)指导的方法基于MetRS抑制剂复合物的十四种晶体结构来生成MetRS的综合药效团。在这项研究中,虚拟筛选方法的混合方案包括基于药效团模型的虚拟筛选(PBVS),基于刚性和柔性对接的虚拟筛选(DBVS),用于从市售化学数据库中检索新的MetRS抑制剂。然后将这种混合虚拟筛选方法应用于筛选规格(202,408种化合物)数据库,这是一种结构多样的化学数据库。从最终命中中选择了15种命中化合物,并转移到实验研究中。这些结果可为进一步研究作为抗菌剂的新型MetRS抑制剂提供重要信息。

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