首页> 外文期刊>Journal of chemical information and modeling >Identification of a new binding site in E. coli FabH using molecular dynamics simulations: Validation by computational alanine mutagenesis and docking studies
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Identification of a new binding site in E. coli FabH using molecular dynamics simulations: Validation by computational alanine mutagenesis and docking studies

机译:使用分子动力学模拟鉴定大肠杆菌FabH中的新结合位点:通过计算丙氨酸诱变和对接研究进行验证

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摘要

FabH (Fatty acid biosynthesis, enzyme H, also referred to as β-ketoacyl-ACP-synthase III) is a key condensing enzyme in the type II fatty acid synthesis (FAS) system. The FAS pathway in bacteria is essential for growth and survival and vastly differs from the human FAS pathway. Enzymes involved in this pathway have arisen as promising biomolecular targets for discovery of new antibacterial drugs. However, currently there are no clinical drugs that selectively target FabH, and known inhibitors of FabH all act within the active site. FabH exerts its catalytic function as a dimer, which could potentially be exploited in developing new strategies for inhibitor design. The aim of this study was to elucidate structural details of the dimer interface region by means of computational modeling, including molecular dynamics (MD) simulations, in order to derive information for the structure-based design of new FabH inhibitors. The dimer interface region was analyzed by MD simulations, trajectory snapshots were collected for further analyses, and docking studies were performed with potential small molecule disruptors. Alanine mutation and docking studies strongly suggest that the dimer interface could be a potential target for anti-infection drug discovery.
机译:FabH(脂肪酸生物合成酶H,也称为β-酮酰基-ACP合酶III)是II型脂肪酸合成(FAS)系统中的关键缩合酶。细菌中的FAS途径对于生长和存活至关重要,与人类FAS途径有很大的不同。参与该途径的酶已经作为发现新抗菌药物的有希望的生物分子靶标而出现。但是,目前尚没有选择性靶向FabH的临床药物,已知的FabH抑制剂均在活性位点内起作用。 FabH发挥其催化功能作为二聚体,可在开发抑制剂设计的新策略时加以利用。这项研究的目的是通过包括分子动力学(MD)模拟在内的计算模型来阐明二聚体界面区域的结构细节,以便为新型FabH抑制剂的基于结构的设计获得信息。通过MD模拟分析二聚体界面区域,收集轨迹快照以进行进一步分析,并使用潜在的小分子干扰物进行对接研究。丙氨酸突变和对接研究强烈表明,二聚体界面可能是抗感染药物发现的潜在靶标。

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