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数据集的SARS-CoV-2尖端蛋白受体结合域变异复杂与抗原结合片段针对COVID-19疫苗参考变异

Ferdinando Spagnolo^1,2,3, Florigio Lista², Claudia Curcio³

¹School of Advanced Defence Studies, Defence Research and Analysis Institute, Piazza della Rovere 83 Rome, Italy.

|February 5, 2025

概括

本研究介绍了SARS-CoV-2尖端蛋白受体结合域 (RBD) 变体的同质模型,其中包括新疫苗相关的KP.2变体. 该数据集有助于理解抗体对抗不断演变的病毒菌株的有效性.

科学领域:

结构生物学结构生物学
病毒学病毒学
免疫学免疫学免疫学

背景情况:

SARS-CoV-2尖端蛋白受体结合域 (RBD) 进化需要了解抗体相互作用.
现有的结构数据可能不涵盖所有新出现的变异,限制了疫苗和治疗开发.
在最近的疫苗更新中包含KP.2变种强调了更新结构信息的必要性.

研究的目的:

为生成与抗原结合片段 (Fabs) 复杂的SARS-CoV-2 RBD变体的同质模型结构的综合数据集.
为分析抗体-抗原相互作用和疫苗疗效提供高质量的结构数据.
将KP.2变种纳入当前COVID-19疫苗策略的相关性.

主要方法:

14个SARS-CoV-2 RBD变体的同质模型复杂化与Fabs来自PDB结构8GPY,8H7Z和8XE9.9.
使用施罗丁格生物发光剂和能源最小化进行精炼.
使用Prime MM-GBSA与VSGB溶解和OPLS4力场计算结合亲缘关系.

主要成果:

为14个RBD变体和3个Fab对生成了6组复杂结构的数据集.
计算了结合 afinities,使抗原-抗体相互作用的排名.
数据集包括野生类型,BETA,XBB.1.5和KP.2.5等变体的模型.

结论:

生成的数据集为各种SARS-CoV-2变体的抗体结合提供了有价值的结构性见解.
这个资源可以支持对病毒免疫逃避和疫苗有效性的深入研究.
将KP.2变种纳入其中,增强了数据集对于正在进行的公共卫生工作的直接相关性.

关键词:

抗体相互作用抗体相互作用结合性亲缘关系是一种结合性亲缘关系.同性学建模的同性学模型.尖蛋白 RBD 是一种尖蛋白.疫苗引起的免疫力病毒的进化是病毒的进化.

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