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SARS-CoV-2 中两亲性 HR1 的结构和 pKa 估算:恒 pHMD、线性与非线性正则模态分析的启示。

Structural and pKa Estimation of the Amphipathic HR1 in SARS-CoV-2: Insights from Constant pH MD, Linear vs. Nonlinear Normal Mode Analysis.

机构信息

Centro de Investigación de Ciencias Humanas y de la Educación (CICHE), Universidad Indoamérica, Ambato 180103, Ecuador.

出版信息

Int J Mol Sci. 2023 Nov 10;24(22):16190. doi: 10.3390/ijms242216190.

Abstract

A comprehensive understanding of molecular interactions and functions is imperative for unraveling the intricacies of viral protein behavior and conformational dynamics during cellular entry. Focusing on the SARS-CoV-2 spike protein (SARS-CoV-2 sp), a Principal Component Analysis (PCA) on a subset comprising 131 A-chain structures in presence of various inhibitors was conducted. Our analyses unveiled a compelling correlation between PCA modes and Anisotropic Network Model (ANM) modes, underscoring the reliability and functional significance of low-frequency modes in adapting to diverse inhibitor binding scenarios. The role of HR1 in viral processing, both linear Normal Mode Analysis (NMA) and Nonlinear NMA were implemented. Linear NMA exhibited substantial inter-structure variability, as evident from a higher Root Mean Square Deviation (RMSD) range (7.30 Å), nonlinear NMA show stability throughout the simulations (RMSD 4.85 Å). Frequency analysis further emphasized that the energy requirements for conformational changes in nonlinear modes are notably lower compared to their linear counterparts. Using simulations of molecular dynamics at constant pH (cpH-MD), we successfully predicted the pKa order of the interconnected residues within the HR1 mutations at lower pH values, suggesting a transition to a post-fusion structure. The pKa determination study illustrates the profound effects of pH variations on protein structure. Key results include pKa values of 9.5179 for lys-921 in the D936H mutant, 9.50 for the D950N mutant, and a slightly higher value of 10.49 for the D936Y variant. To further understand the behavior and physicochemical characteristics of the protein in a biologically relevant setting, we also examine hydrophobic regions in the prefused states of the HR1 protein mutants D950N, D936Y, and D936H in our study. This analysis was conducted to ascertain the hydrophobic moment of the protein within a lipid environment, shedding light on its behavior and physicochemical properties in a biologically relevant context.

摘要

全面了解分子相互作用和功能对于揭示病毒蛋白在细胞进入过程中的行为和构象动力学的复杂性至关重要。本研究聚焦于 SARS-CoV-2 刺突蛋白(SARS-CoV-2 sp),对包含各种抑制剂的 131 个 A 链结构子集进行主成分分析(PCA)。我们的分析揭示了 PCA 模式与各向异性网络模型(ANM)模式之间的强烈相关性,这突出了低频模式在适应不同抑制剂结合场景中的可靠性和功能意义。线性正常模式分析(NMA)和非线性 NMA 都被用于 HR1 在病毒加工中的作用。线性 NMA 表现出显著的结构间变异性,从更高的均方根偏差(RMSD)范围(7.30 Å)可以明显看出,非线性 NMA 在整个模拟过程中表现出稳定性(RMSD 4.85 Å)。频率分析进一步强调,非线性模式下构象变化的能量需求明显低于线性模式。通过在恒定 pH(cpH-MD)下进行分子动力学模拟,我们成功预测了 HR1 突变体中相互连接残基在较低 pH 值下的 pKa 顺序,这表明发生了从融合前结构到融合后结构的转变。pKa 测定研究说明了 pH 变化对蛋白质结构的深远影响。主要结果包括 D936H 突变体中赖氨酸 921 的 pKa 值为 9.5179,D950N 突变体为 9.50,D936Y 变体略高,为 10.49。为了进一步了解蛋白质在生物学相关环境中的行为和物理化学特性,我们还在本研究中研究了 HR1 蛋白突变体 D950N、D936Y 和 D936H 的预融合状态中的疏水区域。进行此分析是为了确定蛋白质在脂质环境中的疏水矩,从而了解其在生物学相关背景下的行为和物理化学特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38f/10671649/591e242e454d/ijms-24-16190-g001.jpg

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