Department of Biochemistry, Bioinformatics and Molecular Biology Unit, Federal University of Technology Akure, Ondo State, P.M.B 704, Akure, Nigeria.
Biochemical Toxicology Unit, Department of Chemistry, CCNE, Federal University of Santa Maria, Santa Maria, RS, Brazil.
Curr Drug Discov Technol. 2021;18(5):e17092020186048. doi: 10.2174/1570163817999200918103705.
The recent outbreak of Coronavirus SARS-CoV-2 (Covid-19), which has rapidly spread around the world in about three months with tens of thousands of deaths recorded so far is a global concern. An urgent need for potential therapeutic intervention is of necessity. M is an attractive druggable target for the development of anti-COVID-19 drug development.
Compounds previously characterized by Melissa officinalis were queried against the main protease of coronavirus SARS-CoV-2 using a computational approach.
Melitric acid A and salvanolic acid A had higher affinity than lopinavir and ivermectin using both AutodockVina and XP docking algorithms. The computational approach was employed in the generation of the QSAR model using automated QSAR, and in the docking of ligands from Melissa officinalis with SARS-CoV-2 Mpro inhibitors. The best model obtained was KPLS_Radial_ 28 (R = 0.8548 and Q=0.6474, which was used in predicting the bioactivity of the lead compounds. Molecular mechanics based MM-GBSA confirmed salvanolic acid A as the compound with the highest free energy and predicted bioactivity of 4.777; it interacted with His-41 of the catalytic dyad (Cys145-His41) of SARS-CoV-2 main protease (M), as this may hinder the cutting of inactive viral protein into active ones capable of replication.
Salvanolic acid A can be further evaluated as a potential M inhibitor.
新型冠状病毒 SARS-CoV-2(Covid-19)的爆发在大约三个月内迅速在全球蔓延,迄今已记录到成千上万的死亡病例,这引起了全球关注。因此,迫切需要进行潜在的治疗干预。M 是开发抗 COVID-19 药物的一个有吸引力的药物靶点。
使用计算方法对 previously characterized by Melissa officinalis 的化合物进行了冠状病毒 SARS-CoV-2 主要蛋白酶的查询。
使用 AutodockVina 和 XP 对接算法,Melitric acid A 和 salvanolic acid A 的亲和力均高于洛匹那韦和伊维菌素。该计算方法用于使用自动 QSAR 生成 QSAR 模型,并对接 Melissa officinalis 与 SARS-CoV-2 Mpro 抑制剂的配体。获得的最佳模型是 KPLS_Radial_28(R = 0.8548,Q = 0.6474,用于预测先导化合物的生物活性。基于分子力学的 MM-GBSA 证实 salvanolic acid A 是自由能最高且预测生物活性为 4.777 的化合物;它与 SARS-CoV-2 主要蛋白酶(M)的催化偶联物(Cys145-His41)中的 His-41 相互作用,这可能阻碍无活性病毒蛋白切割成能够复制的活性蛋白。
Salvanolic acid A 可进一步评估为潜在的 M 抑制剂。