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基于结构的虚拟筛选以鉴定针对铜绿假单胞菌中LasR主调控因子的潜在群体感应抑制剂。

Structure based virtual screening for identification of potential quorum sensing inhibitors against LasR master regulator in Pseudomonas aeruginosa.

作者信息

Kalia Manmohit, Singh Pradeep Kumar, Yadav Vivek Kumar, Yadav Birendra Singh, Sharma Deepmala, Narvi Sahid Suhail, Mani Ashutosh, Agarwal Vishnu

机构信息

Department of Biotechnology, Motilal Nehru National Institute of Technology, Allahabad, India.

Department of Mathematics, National Institute of Technology, Raipur, India.

出版信息

Microb Pathog. 2017 Jun;107:136-143. doi: 10.1016/j.micpath.2017.03.026. Epub 2017 Mar 27.

Abstract

Inter and intracellular communication in bacteria, which is known as quorum sensing (QS), is mediated by small diffusible signaling molecules known as autoinducers. QS regulates various virulence factors responsible for pathogenesis. Increasing resistance of microorganisms against traditional antibiotics has turned the focus towards the QS as it exerts less selective pressure preventing development of resistance among microorganisms. LasR, a transcription factor that controls QS in Pseudomonas aeruginosa, is an attractive therapeutic target for inhibitors. This study aimed to screen natural compounds as potential inhibitors of LasR. About 2603 compounds from ZINC database were virtually screened against the structure of LasR. Then after qualifying compounds were filtered on the parameters of Lipinski's rule and ADME. Six novel potential QS inhibiting compounds were selected on the basis of binding energy. Structures of LasR-ligand complexes were analysed to have insight of binding between inhibitors and target. It is pertinent to mention here that all the molecules are structurally different from 3-oxo-CHSL,a native autoinducer of LasR, that play key role in formation of LasR dimer which is an active form of the protein to facilitate QS.

摘要

细菌中的细胞间和细胞内通讯,即群体感应(QS),由称为自诱导物的小分子可扩散信号分子介导。群体感应调节各种与发病机制相关的毒力因子。微生物对传统抗生素的耐药性不断增加,使得人们将注意力转向群体感应,因为它施加的选择性压力较小,可防止微生物产生耐药性。LasR是一种控制铜绿假单胞菌群体感应的转录因子,是抑制剂的一个有吸引力的治疗靶点。本研究旨在筛选作为LasR潜在抑制剂的天然化合物。从ZINC数据库中对约2603种化合物进行了针对LasR结构的虚拟筛选。然后根据Lipinski规则和ADME参数对合格化合物进行筛选。根据结合能选择了六种新型潜在的群体感应抑制化合物。分析了LasR-配体复合物的结构,以深入了解抑制剂与靶点之间的结合。在此需要提及的是,所有分子在结构上均与3-氧代-C12-HSL不同,3-氧代-C12-HSL是LasR的天然自诱导物,在LasR二聚体的形成中起关键作用,LasR二聚体是该蛋白促进群体感应的活性形式。

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