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分子对接、模拟和 MM-PBSA 研究化合物:一种计算方法,旨在寻找治疗 COVID-19 的潜在天然抗病毒药物。

Molecular docking, simulation and MM-PBSA studies of compounds: a computational quest to identify potential natural antiviral for COVID-19 treatment.

机构信息

National Center of Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.

Pakistan Institute of Medical Sciences, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan.

出版信息

J Biomol Struct Dyn. 2021 Aug;39(12):4225-4233. doi: 10.1080/07391102.2020.1775129. Epub 2020 Jun 12.

Abstract

or black seed is used as a medicinal plant around the globe. Oil and seeds have a long tradition of folklore use in various medicinal and food systems. The conventional therapeutic use of in different ways, has been reported in several studies to treat different diseases including influenza, headache, hypertension, diabetes, inflammation, eczema, fever, cough, asthma, bronchitis, and fever. Based on previously reported potential therapeutic uses of compounds, and keeping in mind the dire need of time for the development of potent antiviral, a combined docking, ADMET properties calculation, molecular dynamics, and MM-PBSA approaches were applied in the current study to check the therapeutic potentials of chief constituents against COVID-19. Among the studied compounds, we found that dithymoquinone (DTQ), with binding affinity of -8.6 kcal/mol compared to a positive control (chloroquine, -7.2 kcal/mol) , has the high potential of binding at SARS-CoV-2:ACE2 interface and thus could be predicted as a plausible inhibitor to disrupt viral-host interactions. Molecular dynamics simulation of 100 ns well complemented binding affinity of the compound and revealed strong stability of DTQ at the docked site. Additionally, MM-PBSA also affirms the docking results. Compound DTQ of the present study, if validated in wet lab experiments, could be used to treat COVID-19 and could serve as a lead in the future for development of more effective natural antivirals against COVID-19. Communicated by Ramaswamy H. Sarma.

摘要

黑种草子在全球范围内被用作药用植物。其油和种子在各种药用和食品系统中具有悠久的民间应用传统。在不同的方式中,传统上用于治疗不同疾病,包括流感、头痛、高血压、糖尿病、炎症、湿疹、发烧、咳嗽、哮喘、支气管炎和发烧。基于先前报道的 化合物的潜在治疗用途,并考虑到开发有效抗病毒药物的迫切需要,本研究应用了组合对接、ADMET 性质计算、分子动力学和 MM-PBSA 方法,以检查 主要成分对 COVID-19 的治疗潜力。在所研究的化合物中,我们发现二硫代莫宁(DTQ)与阳性对照(氯喹,-7.2 kcal/mol)相比,具有 -8.6 kcal/mol 的结合亲和力,具有与 SARS-CoV-2:ACE2 界面结合的高潜力,因此可以预测为一种合理的抑制剂,以破坏病毒-宿主相互作用。100 ns 的分子动力学模拟很好地补充了化合物的结合亲和力,并揭示了 DTQ 在对接位点的强稳定性。此外,MM-PBSA 也证实了对接结果。如果本研究中的化合物 DTQ 在湿实验室实验中得到验证,它可以用于治疗 COVID-19,并可能成为未来开发更有效的 COVID-19 天然抗病毒药物的先导。Ramaswamy H. Sarma 通讯。

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