Ramos Ryan S, de Souza João S N, Chaves Mariana H, Campos Joaquín M, Dantas Willyenne M, Pena Lindomar J, Andrade Maracy L D S, Santos Cleydson B R
Graduate Program in Biotechnology and Biodiversity-Network BIONORTE, Federal University of Amapá, Macapá 68903-419, Amapá, Brazil.
Laboratory of Modeling and Computational Chemistry, Department of Biological and Health Sciences, Federal University of Amapá, 68902-280 Macapá, AP, Brazil.
J Chem Inf Model. 2025 Aug 11;65(15):8249-8261. doi: 10.1021/acs.jcim.5c01056. Epub 2025 Jul 25.
The study aims to identify potential SARS-CoV-2 inhibitors and investigate the mechanism of action on the viral ACE2 receptor and main protease (Mpro), using chemo- and bioinformatics approaches. Ligand-based virtual screening was performed in the Molport database (∼4.79 million compounds), and after applying physicochemical filters, 313 molecules with characteristics such as hydroxychloroquine were obtained. After obtaining bioactive conformations, the molecular structures were subjected to the study of pharmacokinetic predictions, in which 106 molecules presented properties for oral bioavailability, penetration of the BBB, PPB, and solubility (average). The toxicological property predictions proved plausible for the molecules, as they did not present warnings of hepatotoxicity, mutagenicity, potential risk of carcinogenicity, and LC and LD values higher than the controls. Subsequently, 81 structures were subjected to a molecular docking study of ACE2 receptor/Spike and Mpro. In the ACE2 receptor, four (4) ligands showed high binding affinity value, in which the molecule MolPort-010-778-422 had the best Δ value of -9.414 kcal/mol, followed by MolPort-009-093-282 with Δ = -8.978 kcal/mol. In the Mpro receptor, four (4) ligands showed high binding affinity values compared to control 11b, with emphasis on molecule MolPort-005-766-143 with Δ = -8.829 kcal/mol, followed by molecule MolPort-046-186-743. To study the antiviral effects of the molecules , TopHits8 molecules were tested against the SARS-CoV-2 virus. MolPort-010-778-422 had the best result on the screening and presented an IC of 8.9 nM.
该研究旨在利用化学和生物信息学方法,鉴定潜在的新型冠状病毒2型(SARS-CoV-2)抑制剂,并研究其对病毒血管紧张素转换酶2(ACE2)受体和主要蛋白酶(Mpro)的作用机制。基于配体的虚拟筛选在Molport数据库(约479万个化合物)中进行,应用物理化学筛选后,获得了313个具有羟氯喹啉等特征的分子。获得生物活性构象后,对分子结构进行药代动力学预测研究,其中106个分子具有口服生物利用度、血脑屏障穿透性、血浆蛋白结合率和溶解度(平均)等性质。毒理学性质预测对这些分子来说是合理的,因为它们没有显示出肝毒性、致突变性、致癌潜在风险的警告,且半数致死浓度(LC)和半数致死剂量(LD)值高于对照。随后,对81个结构进行了ACE2受体/刺突蛋白和Mpro的分子对接研究。在ACE2受体中,4种配体显示出高结合亲和力值,其中分子MolPort-010-778-422的最佳Δ值为-9.414千卡/摩尔,其次是MolPort-009-093-282,Δ=-8.978千卡/摩尔。在Mpro受体中,与对照11b相比,4种配体显示出高结合亲和力值,其中分子MolPort-005-766-143的Δ=-8.829千卡/摩尔最为突出,其次是分子MolPort-046-186-743。为了研究这些分子的抗病毒效果,对筛选出的8个最佳命中分子进行了针对SARS-CoV-2病毒的测试。MolPort-010-778-422在筛选中结果最佳,其半数抑制浓度(IC)为8.9纳摩尔。