CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal.
IIIs-Institute for Interdisciplinary Research, University of Coimbra, 3030-789 Coimbra, Portugal.
Int J Mol Sci. 2022 Mar 10;23(6):2986. doi: 10.3390/ijms23062986.
Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.
严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)由四种结构蛋白和几种辅助非结构蛋白组成。SARS-CoV-2 最丰富的结构蛋白膜(M)蛋白在病毒感染周期和宿主干扰素拮抗作用中都起着关键作用。这是一种高度保守的病毒蛋白,因此是药物发现的有趣且合适的目标。在本文中,我们解释了 M 蛋白同源二聚体的结构性质。为此,我们开发并应用了详细而强大的计算工作流程来预测 M 蛋白二聚体结构、膜取向和界面特征。从全球共享流感数据倡议 (GISAID) 数据库中超过 1200 万个 SARS-CoV-2 基因组和蛋白质中检索到 M 蛋白中的单核苷酸多态性 (SNP),其中 91 个位于预测的二聚体界面。其中,我们确定了在关注变体 (VOC) 和感兴趣变体 (VOI) 中位于二聚体界面的 SNP。评估了二聚体界面 SNP 的结合自由能差异,以推断突变蛋白的稳定性。发现一些高流行的突变残基在 VOC 和 VOI 中特别重要。这一认识可能会改变基于结构的 SARS-CoV-2 新型治疗药物的制剂。