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利用基于结构的方法鉴定基孔肯雅病毒nsP2蛋白酶抑制剂。

Identification of chikungunya virus nsP2 protease inhibitors using structure-base approaches.

作者信息

Nguyen Phuong T V, Yu Haibo, Keller Paul A

机构信息

School of Chemistry, University of Wollongong, 2522, Australia.

School of Chemistry, University of Wollongong, 2522, Australia.

出版信息

J Mol Graph Model. 2015 Apr;57:1-8. doi: 10.1016/j.jmgm.2015.01.001. Epub 2015 Jan 12.

DOI:10.1016/j.jmgm.2015.01.001
PMID:25622129
Abstract

The nsP2 protease of chikungunya virus (CHIKV) is one of the essential components of viral replication and it plays a crucial role in the cleavage of polyprotein precursors for the viral replication process. Therefore, it is gaining attention as a potential drug design target against CHIKV. Based on the recently determined crystal structure of the nsP2 protease of CHIKV, this study identified potential inhibitors of the virus using structure-based approaches with a combination of molecular docking, virtual screening and molecular dynamics (MD) simulations. The top hit compounds from database searching, using the NCI Diversity Set II, with targeting at five potential binding sites of the nsP2 protease, were identified by blind dockings and focused dockings. These complexes were then subjected to MD simulations to investigate the stability and flexibility of the complexes and to gain a more detailed insight into the interactions between the compounds and the enzyme. The hydrogen bonds and hydrophobic contacts were characterized for the complexes. Through structural alignment, the catalytic residues Cys1013 and His1083 were identified in the N-terminal region of the nsP2 protease. The absolute binding free energies were estimated by the linear interaction energy approach and compared with the binding affinities predicted with docking. The results provide valuable information for the development of inhibitors for CHIKV.

摘要

基孔肯雅病毒(CHIKV)的nsP2蛋白酶是病毒复制的重要组成部分之一,在病毒复制过程中多蛋白前体的切割中起关键作用。因此,它作为一种针对CHIKV的潜在药物设计靶点正受到关注。基于最近确定的CHIKV的nsP2蛋白酶晶体结构,本研究采用基于结构的方法,结合分子对接、虚拟筛选和分子动力学(MD)模拟,鉴定了该病毒的潜在抑制剂。通过盲对接和聚焦对接,从使用美国国立癌症研究所多样性集II进行数据库搜索中,筛选出针对nsP2蛋白酶五个潜在结合位点的命中化合物。然后对这些复合物进行MD模拟,以研究复合物的稳定性和灵活性,并更详细地了解化合物与酶之间的相互作用。对复合物的氢键和疏水接触进行了表征。通过结构比对,在nsP2蛋白酶的N端区域鉴定出催化残基Cys1013和His1083。采用线性相互作用能方法估算绝对结合自由能,并与对接预测的结合亲和力进行比较。这些结果为开发针对CHIKV的抑制剂提供了有价值的信息。

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