Queirós-Reis Luís, Kaarbo̷ Mari, Al-Baldawi Huda, Alvites Rui, Maurício Ana Colette, Brancale Andrea, Bassetto Marcella, Mesquita João R
Abel Salazar Institute of Biomedical Sciences (ICBAS), University of Porto, Porto 4050-313, Portugal.
Department of Microbiology, Oslo University Hospital, Oslo 0424, Norway.
ACS Omega. 2025 Jun 4;10(23):24117-24132. doi: 10.1021/acsomega.4c10519. eCollection 2025 Jun 17.
The key viral protein for infection by SARS-CoV-2 is the spike glycoprotein (S protein), mediating entry into host cells, which therefore represents a strong focus for the development of targeted therapeutics. In this work, we explored the fatty acid binding pocket within the S protein, which stabilizes an inactive conformation and disrupts cell recognition and infection. To explore the potential of this site as a drug target, molecular dynamics simulations were performed, followed by a docking-based virtual screening of commercial druglike compounds. This in silico procedure enabled the identification of potential inhibitors of SARS-CoV-2 cell infection, likely by stabilizing an inactive spike conformation, detected in binding assays, although further experiments are required to directly confirm this action. The antiviral effect of the virtual hits was analyzed in cell-based assays, and one molecule displayed a low micromolar activity. Starting from the best antiviral compound found, structural analogues were purchased and evaluated in antiviral assays. An increase in activity was observed for multiple analogues, with the strongest antiviral compound showing submicromolar activity and low cytotoxicity. The successful identification of a new antiviral scaffold through in silico studies might pave the way for the further development of antivirals against SARS-CoV-2 and shows the reliability of the methodologies applied.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的关键病毒蛋白是刺突糖蛋白(S蛋白),它介导病毒进入宿主细胞,因此成为靶向治疗药物开发的重点。在这项研究中,我们探索了S蛋白内的脂肪酸结合口袋,该口袋稳定了一种无活性构象并破坏细胞识别和感染。为了探究该位点作为药物靶点的潜力,我们进行了分子动力学模拟,随后对商业类药物化合物进行了基于对接的虚拟筛选。这种计算机模拟方法能够识别出可能通过稳定一种在结合试验中检测到的无活性刺突构象来抑制SARS-CoV-2细胞感染的潜在抑制剂,不过还需要进一步实验来直接证实这种作用。在基于细胞的试验中分析了虚拟筛选命中化合物的抗病毒效果,其中一种分子表现出低微摩尔活性。从找到的最佳抗病毒化合物出发,购买了其结构类似物并在抗病毒试验中进行评估。多个类似物的活性有所增加,最强的抗病毒化合物表现出亚微摩尔活性和低细胞毒性。通过计算机模拟研究成功鉴定出一种新的抗病毒支架,这可能为进一步开发抗SARS-CoV-2病毒药物铺平道路,并显示了所应用方法的可靠性。