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首页> 外文期刊>Bulletin of the Korean Chemical Society >Understanding Drug-Protein Interactions in Escherichia coli FabI and Various FabI Inhibitor Complexes
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Understanding Drug-Protein Interactions in Escherichia coli FabI and Various FabI Inhibitor Complexes

机译:了解大肠杆菌FabI和各种FabI抑制剂复合物中的药物-蛋白质相互作用

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Many ligands have been experimentally designed and tested for their activities as inhibitors against bacterial enoyl-ACP reductase (FabI), ENR. Here the binding energies of the reported ligands with the E. coli ENR-NAD~+ were calculated, analyzed and compared, and their molecular dynamics (MD) simulation study was performed. IDN, ZAM and AYM ligands were calculated to have larger binding energies than TCL and IDN has the largest binding energy among the considered ligands (TCL, S54, E26, ZAM, AYM and IDN). The contribution of residues to the ligand binding energy is larger in E. coli ENR-NAD~+-IDN than in E. coli ENR-NAD~+-TCL, while the contribution of NAD~+ is smaller for IDN than for TCL. The large-size ligands having considerable interactions with residues and NAD~+ have many effective functional groups such as aromatic π rings, acidic hydroxyl groups, and polarizable amide car-bonyl groups in common. The cation-π interactions have large binding energies, positively charged residues strongly interact with polarisable amide carbonyl group, and the acidic phenoxyl group has strong H-bond interactions. The residues which have strong interactions with the ligands in common are Y146, Y156, M159 and K.163. This study of the reported inhibitor candidates is expected to assist the design of feasible ENR inhibitors.
机译:已经对许多配体进行了实验设计,并测试了它们作为细菌烯酰-ACP还原酶(FabI),ENR抑制剂的活性。在此,对所报道的配体与大肠杆菌ENR-NAD〜+的结合能进行了计算,分析和比较,并进行了分子动力学(MD)模拟研究。计算得出IDN,ZAM和AYM配体的结合能比TCL大,并且IDN在所考虑的配体(TCL,S54,E26,ZAM,AYM和IDN)中具有最大的结合能。大肠杆菌ENR-NAD〜+ -IDN中的残基对配体结合能的贡献要比大肠杆菌ENR-NAD〜+ -TCL中的大,而IDN的NAD〜+的贡献要比TCL小。与残基和NAD〜+具有相当大的相互作用的大型配体通常具有许多有效的官能团,例如芳族π环,酸性羟基和可极化的酰胺碳烷基。阳离子-π相互作用具有大的结合能,带正电荷的残基与可极化的酰胺羰基强烈相互作用,而酸性苯氧基则具有很强的H键相互作用。与配体共同具有强相互作用的残基为Y146,Y156,M159和K.163。预期对报告的候选抑制剂的研究将有助于设计可行的ENR抑制剂。

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