Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Bioinformatics and Computational Biology Pub Date : 2022-02-01 Epub Date: 2022-01-20 DOI:10.1142/S0219720021500347
Xiaoyu Liu, Jingying Zhao, Sicong Li, Cai Wei, Shihang Wang, Xuanyu Xu, Yin Zheng, Xiangyu Deng, Wenliang Yuan, Xiaomin Zeng, Sihua Peng
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Abstract

HCoV-HKU1 is a [Formula: see text]-coronavirus with low pathogenicity, which usually leads to respiratory diseases. At present, a controversial issue is that whether the receptor binding site (RBS) of HCoV-HKU1 is located in the N-terminal domain (NTD) or the C-terminal domain (CTD) in the HCoV-HKU1 S protein. To address this issue, we used molecular docking technology to dock the NTD and CTD with 9-oxoacetylated sialic acid (9-O-Ac-Sia), respectively, with the results showing that the RBS of HCoV-HKU1 is located in the NTD (amino acid residues 80-95, 25-32). Our findings clarified the structural basis and molecular mechanism of the HCoV-HKU1 infection, providing important information for the development of therapeutic antibody drugs and the design of vaccines.

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基于分子对接的冠状病毒HCoV-HKU1与9-O-Ac-Sia真正受体结合位点的厘清
HCoV-HKU1是一种[公式:见文]低致病性的冠状病毒,通常导致呼吸道疾病。目前,HCoV-HKU1的受体结合位点(receptor binding site, RBS)位于HCoV-HKU1 S蛋白的n端结构域(NTD)还是c端结构域(CTD)是一个有争议的问题。为了解决这一问题,我们利用分子对接技术将NTD和CTD分别与9-氧乙酰化唾液酸(9-O-Ac-Sia)对接,结果表明HCoV-HKU1的RBS位于NTD(氨基酸残基80- 99,25 -32)。我们的发现阐明了HCoV-HKU1感染的结构基础和分子机制,为治疗性抗体药物的开发和疫苗的设计提供了重要信息。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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