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引用次数: 0
摘要
开发针对 COVID-19 的有效疗法需要深入了解 SARS-CoV-2 穗状(S)蛋白的受体识别机制。本文利用正态模式分析(NMA)对尖峰蛋白三聚体上的多域集体动力学进行了分析。在 SARS-CoV-2 的尖峰蛋白及其变体中发现了一个共同的纳米力学特征。该曲线涉及受体结合结构域(RBD)和 N 端结构域(NTD)的集体振动,它们可能介导了物理相互作用过程。对集体模式的定量分析表明,纳米机械特性涉及大规模构象变化,这解释了不同变体之间受体结合亲和力的差异。这些结果支持使用内在全局动力学作为研究 S 蛋白异构和功能机制的重要视角。这种方法还为筛选潜在的致病突变和药物靶点提供了低成本的理论工具包。
Nanomechanical collective vibration of SARS-CoV-2 spike proteins
The development of effective therapeutics against COVID-19 requires a thorough understanding of the receptor recognition mechanism of the SARS-CoV-2 spike (S) protein. Here the multidomain collective dynamics on the trimer of the spike protein has been analyzed using normal mode analysis (NMA). A common nanomechanical profile was identified in the spike proteins of SARS-CoV-2 and its variants. The profile involves collective vibrations of the receptor-binding domain (RBD) and the N-terminal domain (NTD), which may mediate the physical interaction process. Quantitative analysis of the collective modes suggests a nanomechanical property involving large-scale conformational changes, which explains the difference in receptor binding affinity among different variants. These results support the use of intrinsic global dynamics as a valuable perspective for studying the allosteric and functional mechanisms of the S protein. This approach also provides a low-cost theoretical toolkit for screening potential pathogenic mutations and drug targets.
期刊介绍:
Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches.
The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.