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SARS-CoV-2尖端蛋白突变的结构和功能影响:来自预测建模和分析的见解

Edem K Netsey¹, Samuel M Naandam², Joseph Asante Jnr³

¹Department of Mathematics and Information Communication Technology, School of Physical Sciences, Dambai College of Education, Dambai, Ghana.

JMIR bioinformatics and biotechnology

|December 8, 2025

概括

该研究使用图形理论和模拟分析了SARS-CoV-2尖端突变. 突变N501Y和L452R显著改变了尖端受体结合域 (RBD) 的结构和稳定性,影响了COVID-19变种的发展.

科学领域:

病毒学和结构生物学
计算生物学和生物信息学

背景情况:

随着COVID-19的流行,我们需要对SARS-CoV-2进行彻底的了解,特别是如何使尖端受体结合域 (RBD) 突变影响其结构和功能.
现有的方法缺乏在不同结构层面对这些突变的全面分析.

研究的目的:

分析特定SARS-CoV-2点突变 (N501Y,L452R,N440K,K417N,E484A) 对尖端RBD结构和功能的影响.
使用预测建模,包括图形理论方法,蛋白质建模和分子动力学模拟.

主要方法:

利用多层图形理论框架,在三个相互连接的层面上建模蛋白质结构.
使用Iterative Threading Assembly Refinement (I-TASSER) 来建模突变序列和分子动力学模拟以评估蛋白质折叠和稳定性.
应用图形理论分子描述器来分析各个层面的结构变化.

主要成果:

通过使用三种不同的分析方法,成功确定了SARS-CoV-2尖端RBD (链E) 由于点突变的结构和功能变化.
图形理论模型显示,与野生类型相比,N501Y和L452R突变对RBD构造和稳定性产生了最显著的影响.
K417N和E484A突变显示出较少明显的效应,这些发现得到了ab initio建模和分子动力学模拟的证实.

结论:

进一步了解SARS-CoV-2尖端RBD突变及其对疫苗开发,治疗设计和变种监测的影响.
强调了结合多种预测分析方法研究病毒突变的有效性.
为未来研究病毒突变及其对蛋白质结构和功能的影响提供了一个框架.

关键词:

6M0JJ 6M0JJ 6M0JJ 6M0JJ 6M0JJ 6M0J 6M0J 6M0J 6M0J 6M0J 6M0J 6M0J 6M0J 6M0J 在 COVID-19 疫情中,E484A 是一个很好的标签.在SARS-CoV-2突发突变 (N501Y,E484A,L452R,N440K,K417N) 的发生.图形理论建模的模型.分子动力学模拟,分子动力学模拟预测建模预测建模无监督的机器学习

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