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新型冠状病毒(SARS-CoV-2)的潜在抑制剂。

Potential inhibitors for the novel coronavirus (SARS-CoV-2).

机构信息

Shanghai Jiao Tong University.

Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine.

出版信息

Brief Bioinform. 2021 Mar 22;22(2):1225-1231. doi: 10.1093/bib/bbaa209.

Abstract

The lack of a vaccine or any effective treatment for the aggressive novel coronavirus disease (COVID-19) has created a sense of urgency for the discovery of effective drugs. Several repurposing pharmaceutical candidates have been reported or envisaged to inhibit the emerging infections of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but their binding sites, binding affinities and inhibitory mechanisms are still unavailable. In this study, we use the ligand-protein docking program and molecular dynamic simulation to ab initio investigate the binding mechanism and inhibitory ability of seven clinically approved drugs (Chloroquine, Hydroxychloroquine, Remdesivir, Ritonavir, Beclabuvir, Indinavir and Favipiravir) and a recently designed α-ketoamide inhibitor (13b) at the molecular level. The results suggest that Chloroquine has the strongest binding affinity with 3CL hydrolase (Mpro) among clinically approved drugs, indicating its effective inhibitory ability for SARS-CoV-2. However, the newly designed inhibitor 13b shows potentially improved inhibition efficiency with larger binding energy compared with Chloroquine. We further calculate the important binding site residues at the active site and demonstrate that the MET 165 and HIE 163 contribute the most for 13b, while the MET 165 and GLN 189 for Chloroquine, based on residual energy decomposition analysis. The proposed work offers a higher research priority for 13b to treat the infection of SARS-CoV-2 and provides theoretical basis for further design of effective drug molecules with stronger inhibition.

摘要

由于缺乏针对新型冠状病毒疾病(COVID-19)的疫苗或任何有效治疗方法,因此迫切需要发现有效的药物。已经有报道或设想了几种重新利用的药物候选物来抑制严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)的新感染,但其结合部位、结合亲和力和抑制机制仍不清楚。在这项研究中,我们使用配体-蛋白质对接程序和分子动力学模拟,从理论上研究了七种已批准的临床药物(氯喹、羟氯喹、瑞德西韦、利托那韦、贝昔洛韦、茚地那韦和法匹拉韦)和最近设计的一种α-酮酰胺抑制剂(13b)在分子水平上的结合机制和抑制能力。结果表明,氯喹与 3CL 水解酶(Mpro)的结合亲和力在已批准的临床药物中最强,表明其对 SARS-CoV-2 具有有效的抑制能力。然而,与氯喹相比,新设计的抑制剂 13b 具有更大的结合能,显示出潜在的改进的抑制效率。我们进一步计算了活性部位的重要结合位点残基,并基于残差能量分解分析表明,MET 165 和 HIE 163 对 13b 的贡献最大,而 MET 165 和 GLN 189 对氯喹的贡献最大。这项工作为 13b 治疗 SARS-CoV-2 感染提供了更高的研究优先级,并为进一步设计具有更强抑制作用的有效药物分子提供了理论基础。

相似文献

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Computational Determination of Potential Inhibitors of SARS-CoV-2 Main Protease.计算机筛选 SARS-CoV-2 主蛋白酶潜在抑制剂。
J Chem Inf Model. 2020 Dec 28;60(12):5771-5780. doi: 10.1021/acs.jcim.0c00491. Epub 2020 Jun 28.

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