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分子动力学模拟揭示寨卡病毒NS2B/NS3丝氨酸蛋白酶中底物的结合识别

Binding recognition of substrates in NS2B/NS3 serine protease of Zika virus revealed by molecular dynamics simulations.

作者信息

Nutho Bodee, Rungrotmongkol Thanyada

机构信息

Program in Biotechnology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.

Biocatalyst and Environmental Biotechnology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand; Program in Bioinformatics and Computational Biology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.

出版信息

J Mol Graph Model. 2019 Nov;92:227-235. doi: 10.1016/j.jmgm.2019.08.001. Epub 2019 Aug 2.

DOI:10.1016/j.jmgm.2019.08.001
PMID:31401441
Abstract

Zika virus (ZIKV) has become a global public health concern. The recent epidemiological data has revealed a possible association of ZIKV infection with more serious complications, particularly for Guillain-Barré syndrome in adults and microcephaly in newborn children. Till now, there is no vaccine or effective drug commercially available to combat with ZIKV infection. An attractive drug target for the ZIKV treatment is the NS2B/NS3 serine protease, which is essential for viral polyprotein processing. Herein, classical molecular dynamics (MD) simulations were performed on the ZIKV NS2B/NS3 serine protease in complex with four peptide substrates to investigate the binding recognition and protein-substrate interactions. The obtained results indicate that the P1 and P2 positions of the substrate play a significant role in binding with the protease enzyme, while the P3 and P4 positions show a minor contribution in binding interaction. Moreover, the binding free energy calculation based on the MM/PBSA method suggests that among the four similar peptide substrates, the peptide Ac-D-RKOR-ACC displays the strongest binding affinity towards the ZIKV protease due to the high energy contribution at the S2 subsite particularly for the NS3 residue D75 with the P2(O) residue of this substrate, which is in line with the experimental data. Thus, the information derived from MD simulations presented here would be useful for the design of potent protease inhibitors.

摘要

寨卡病毒(ZIKV)已成为全球公共卫生关注的焦点。最近的流行病学数据显示,ZIKV感染可能与更严重的并发症有关,尤其是成人的吉兰 - 巴雷综合征和新生儿的小头畸形。到目前为止,尚无用于对抗ZIKV感染的商业可用疫苗或有效药物。ZIKV治疗的一个有吸引力的药物靶点是NS2B/NS3丝氨酸蛋白酶,它对于病毒多蛋白加工至关重要。在此,对与四种肽底物复合的ZIKV NS2B/NS3丝氨酸蛋白酶进行了经典分子动力学(MD)模拟,以研究结合识别和蛋白质 - 底物相互作用。所得结果表明,底物的P1和P2位置在与蛋白酶的结合中起重要作用,而P3和P4位置在结合相互作用中的贡献较小。此外,基于MM/PBSA方法的结合自由能计算表明,在四种相似的肽底物中,肽Ac - D - RKOR - ACC对ZIKV蛋白酶表现出最强的结合亲和力,这是由于S2亚位点的高能量贡献,特别是对于该底物的P2(O)残基与NS3残基D75,这与实验数据一致。因此,此处从MD模拟获得的信息将有助于设计有效的蛋白酶抑制剂。

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