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作为抑制新型冠状病毒主要蛋白酶候选物的传统草药化合物:一项研究

Traditional herbal compounds as candidates to inhibit the SARS-CoV-2 main protease: an study.

作者信息

de Oliveira Osmair Vital, Cristina Andreazza Costa Maria, Marques da Costa Ricardo, Giordano Viegas Rafael, Paluch Andrew S, Miguel Castro Ferreira Márcia

机构信息

Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Catanduva, Brazil.

Instituto de Química, Universidade Estadual de Campinas, Campinas, Brazil.

出版信息

J Biomol Struct Dyn. 2023 Mar;41(5):1603-1616. doi: 10.1080/07391102.2021.2023646. Epub 2022 Jan 4.

DOI:10.1080/07391102.2021.2023646
PMID:36719113
Abstract

COVID-19, a disease caused by the SARS-CoV-2 virus, is responsible for a pandemic since March 2020 and it has no cure. Therefore, herein, different theoretical methods were used to obtain potential candidates from herbal compounds to inhibit the SARS-CoV-2 main protease (M). Initially, the 16 best-scored compounds were selected from a library containing 4066 ligands using virtual screening by molecular docking. Among them, six molecules (physalin B 5,6-epoxide (PHY), methyl amentoflavone (MAM), withaphysalin C (WPC), daphnoline or trilobamine (TRI), cepharanoline (CEP) and tetrandrine (TET)) were selected based on Lipinski's rule and ADMET analysis as criteria. These compounds complexed with the M were submitted to triplicate 100ns molecular dynamics simulations. RMSD, RMSF, and radius of gyration results show that the overall protein structure is preserved along the simulation time. The average ΔG values, calculated by the MM/PBSA method, were -41.7, -55.8, -45.2, -38.7, -49.3, and -57.9kcal/mol for the PHY-M, MAM-M, WPC-M, CEP-M, TRI-M, and TET-M complexes, respectively. Pairwise decomposition analyses revealed that the binding pocket is formed by His41-Val42, Met165-Glu166-Leu167, Asp187, and Gln189. The PLS regression model generated by QSPR analysis indicated that non-polar and polar groups with the presence of hydrogen bond acceptors play an important role in the herbal compounds-M interactions. Overall, we found six potential candidates to inhibit the SARS-CoV-2 M and highlighted key residues from the binding pocket that can be used for future drug design. Communicated by Ramaswamy H. Sarma.

摘要

新型冠状病毒肺炎(COVID-19)是由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒引起的疾病,自2020年3月以来已导致全球大流行,且尚无治愈方法。因此,本文采用了不同的理论方法从草药化合物中寻找抑制SARS-CoV-2主要蛋白酶(M)的潜在候选物。首先,通过分子对接虚拟筛选,从包含4066种配体的库中选出得分最高的16种化合物。其中,基于Lipinski规则和ADMET分析标准,选择了6种分子(酸浆B 5,6-环氧化物(PHY)、甲基穗花杉双黄酮(MAM)、异酸浆素C(WPC)、瑞香毒素或三叶豆碱(TRI)、千金藤素(CEP)和粉防己碱(TET))。将这些与M结合的化合物进行了三次重复的100纳秒分子动力学模拟。均方根偏差(RMSD)、均方根波动(RMSF)和回转半径结果表明,在模拟过程中蛋白质的整体结构得以保留。通过MM/PBSA方法计算的平均结合自由能(ΔG)值,对于PHY-M、MAM-M、WPC-M、CEP-M、TRI-M和TET-M复合物分别为-41.7、-55.8、-45.2、-38.7、-49.3和-57.9千卡/摩尔。成对分解分析表明,结合口袋由His41-Val42、Met165-Glu166-Leu167、Asp187和Gln189形成。定量构效关系(QSPR)分析生成的偏最小二乘(PLS)回归模型表明,具有氢键受体的非极性和极性基团在草药化合物与M的相互作用中起重要作用。总体而言,我们发现了6种抑制SARS-CoV-2 M的潜在候选物,并突出了结合口袋中的关键残基,可用于未来的药物设计。由Ramaswamy H. Sarma传达。

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