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引用次数: 0
摘要
COVID-19与人体的初始相互作用涉及病毒刺突蛋白的受体结合域(RBD)与血管紧张素转换酶2 (ACE2)受体。同样,刺突蛋白可以与免疫相关蛋白结合,如toll样受体(TLRs)和肺表面活性剂蛋白A (SP-A)和D (SP-D),从而引发免疫反应。在本研究中,我们利用计算方法研究了刺突蛋白与tlr(特别是TLR2和TLR4)以及(SP-A)和(SP-D)之间的相互作用。该研究针对四种关注变异(VOC)进行,以区分和识别常见的病毒行为。对各种变异的结构稳定性的评估表明突变引起的轻微变化,但总体结构完整性仍然保持不变。我们的发现揭示了刺突蛋白与TLR4和TLR2结合的能力,从而促进免疫激活。此外,我们的芯片结果显示了几乎相似的对接分数,因此对ACE2-spike和TLR4-spike复合物具有亲和力。我们证明,即使是由于所有变异体突变引起的微小变化,表面活性剂A和D蛋白也可以作为抑制所有变异体尖峰的抑制剂,阻碍ACE2-RBD相互作用。由Ramaswamy H. Sarma传达。
Structural insights into ACE2 interactions and immune activation of SARS-CoV-2 and its variants: an in-silico study.
The initial interaction between COVID-19 and the human body involves the receptor-binding domain (RBD) of the viral spike protein with the angiotensin-converting enzyme 2 (ACE2) receptor. Likewise, the spike protein can engage with immune-related proteins, such as toll-like receptors (TLRs) and pulmonary surfactant proteins A (SP-A) and D (SP-D), thereby triggering immune responses. In this study, we utilize computational methods to investigate the interactions between the spike protein and TLRs (specifically TLR2 and TLR4), as well as (SP-A) and (SP-D). The study is conducted on four variants of concern (VOC) to differentiate and identify common virus behaviours. An assessment of the structural stability of various variants indicates slight changes attributed to mutations, yet overall structural integrity remains preserved. Our findings reveal the spike protein's ability to bind with TLR4 and TLR2, prompting immune activation. In addition, our in-silico results reveal almost similar docking scores and therefore affinity for both ACE2-spike and TLR4-spike complexes. We demonstrate that even minor changes due to mutations in all variants, surfactant A and D proteins can function as inhibitors against the spike in all variants, hindering the ACE2-RBD interaction.Communicated by Ramaswamy H. Sarma.
期刊介绍:
The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.