Camila Fonseca Amorim da Silva, Samanta Omae Camalhonte, Michell de Oliveira Almeida, S. C. Araujo, M. Sannomiya, J. Lago, K. M. Honório
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摘要

针对SARS-CoV-2靶点的生物活性化合物可能是COVID-19的潜在治疗方法。病毒刺突蛋白上的受体结合域(RBD)抑制剂可以阻断其与人血管紧张素转换酶II型(ACE2)受体的结合。本研究提出了基于天然产物和合成化合物的配体,除RBD-ACE2外,还针对不同区域的多种N501/Y501 rbd。通过共识评分、药代动力学/毒理学分析和分子动力学对选定化合物进行对接评价。此外,比较了N501/Y501 RBD-ACE2相互作用特性和rbd -配体配合物。我们发现辅酶Q10、1-硬脂酰-2-花生四烯醇甘油和棕榈酮表现出最大的RBD相互作用。靶向C端、n端和RBD中心位点的特定残基(特别是酪氨酸)比仅靶向n端区域促进了更稳定的蛋白质-配体相互作用。我们的研究结果表明,这些分子与来自不同RBD区域的残基具有更有利的能量相互作用,而不仅仅是与n端残基相互作用。此外,这些化合物可能比N501 rbd更能与突变的N501Y相互作用。这些命中点可以优化为先导,并通过QSAR模型和生物学分析进行研究,以更好地理解机制。总之,这些策略可以在未来变体和其他冠状病毒出现时预测抗病毒策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of the N501Y Mutation on Ligands Complexed with SARS-CoV-2 RBD: Insights on Potential Drug Candidates for COVID-19
Bioactive compounds against SARS-CoV-2 targets could be potential treatments for COVID-19. Inhibitors of the receptor-binding domain (RBD) on the viral spike protein can block its binding to the human angiotensin-converting enzyme type II (ACE2) receptor. This study presents ligands based on natural products and synthetic compounds, targeting multiple N501/Y501 RBDs, besides RBD-ACE2, over different regions. The selected compounds were evaluated by docking using consensus scoring, pharmacokinetics/toxicological analyses, and molecular dynamics. Additionally, N501/Y501 RBD-ACE2 interaction properties and RBD–ligand complexes were compared. We identified that coenzyme Q10, 1-stearoyl-2-arachidonoylglycerol, and palmitone showed the greatest RBD interactions. Targeting specific residues (in particular, tyrosine) in the C-, N-terminal, and central RBD sites promoted more stable protein–ligand interactions than in the N-terminal region only. Our results indicate that the molecules had more energetically favorable interactions with residues from distinct RBD regions rather than only interacting with residues in the N-terminal site. Moreover, the compounds might better interact with mutated N501Y than N501 RBDs. These hits can be optimized to leads and investigated through QSAR models and biological assays to comprehend mechanisms better. Altogether, such strategies may anticipate antiviral strategies if or when future variants and other CoVs arise.
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