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大肠杆菌GlmU抑制剂的鉴定与优化:一种计算机模拟方法及其验证

Identification and optimization of Escherichia coli GlmU inhibitors: an in silico approach with validation thereof.

作者信息

Mehra Rukmankesh, Sharma Rashmi, Khan Inshad Ali, Nargotra Amit

机构信息

Discovery Informatics, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu 180001, India.

Clinical Microbiology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu 180001, India; Academy of Scientific and Innovative Research, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu 180001, India.

出版信息

Eur J Med Chem. 2015 Mar 6;92:78-90. doi: 10.1016/j.ejmech.2014.12.030. Epub 2014 Dec 18.

Abstract

Bacterial infections are causing havoc on the populace. Continuous rising of antibiotic resistance in bacteria causes pressing requirement of new drugs and drug therapies that are effective against these multidrug resistance bacteria. GlmU, which is a bifunctional acetyltransferase/uridyltransferase enzyme, is novel target to treat bacterial infections. An effort has been made to identify and develop novel inhibitors of acetyltransferase activity of Escherichia coli (Ec) GlmU protein. In silico approach has been applied to screen chemical library of 50,000 drug-like compounds procured from ChemBridge and ChemDiv databases. This chemical library was screened by using a combination of ligand guided and structure guided techniques. In vitro evaluation of the in silico identified hits helped in the discovery of 8 promising inhibitors of acetyltransferase activity of Ec GlmU. Structure guided lead optimization strategy was adopted based on the acetyltransferase binding site analysis, that presented the scope of modification around three different structural moieties identified through in vitro hits. In addition, molecular dynamics studies revealed the stability of the protein-inhibitor complexes of the two most promising inhibitors identified in this study.

摘要

细菌感染正在给民众带来严重破坏。细菌对抗生素耐药性的持续上升导致对有效对抗这些多重耐药细菌的新药和药物疗法的迫切需求。GlmU是一种双功能乙酰转移酶/尿苷基转移酶,是治疗细菌感染的新靶点。人们已努力鉴定和开发大肠杆菌(Ec)GlmU蛋白乙酰转移酶活性的新型抑制剂。已采用计算机模拟方法筛选从ChemBridge和ChemDiv数据库获取的50000种类药物化合物的化学文库。该化学文库通过结合配体导向和结构导向技术进行筛选。对计算机模拟鉴定出的命中物进行体外评估,有助于发现8种有前景的Ec GlmU乙酰转移酶活性抑制剂。基于乙酰转移酶结合位点分析采用了结构导向的先导优化策略,该分析展示了通过体外命中物鉴定出的三个不同结构部分周围的修饰范围。此外,分子动力学研究揭示了本研究中鉴定出的两种最有前景的抑制剂的蛋白质-抑制剂复合物的稳定性。

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