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利用 steer 分子动力学模拟研究藏红花成分通过与 SARS-CoV-2 刺突蛋白结合的脂质双层的渗透情况。

Investigation on penetration of saffron components through lipid bilayer bound to spike protein of SARS-CoV-2 using steered molecular dynamics simulation.

作者信息

Kordzadeh Azadeh, Ramazani Saadatabadi Ahmad, Hadi Amin

机构信息

Chemial and Petroleum Egineering Department, Sharif University of Technology, Tehran, Iran.

Cellular and Molecular Research Center, School of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran.

出版信息

Heliyon. 2020 Dec;6(12):e05681. doi: 10.1016/j.heliyon.2020.e05681. Epub 2020 Dec 13.

Abstract

A coronavirus identified as COVID-19 is the reason for an infection outbreak which is started in December 2019. NO completely effective drugs and treatments are not recognized for this virus. Recently, saffron and its compounds were used to treat different viral diseases. Saffron extract and its major ingredients have shown antiviral effects. In this study, the steered molecular dynamics simulation was used for investigating the effect of four main components of saffron that include: crocin, crocetin, safranal, and picrocrocin as candidate for drug molecules, on COVID-19. The binding energies between drug molecules and spike protein and the main protease of the virus were evaluated. The obtained results based on Lennard-Jones and electrostatic potentials demonstrated that crocetin has a high affinity towards spike protein and also the main protease of the virus. Also, the quantum mechanics calculations elucidated that the crocetin could overcome energy barrier of lipid bilayer with strong dipole moment and polarizability. The pharmacokinetic and ADMET properties proved that crocetin could be a suitable drug candidate. So, crocetin could be a promising drug for treatment of COVID-19.

摘要

一种名为COVID-19的冠状病毒是始于2019年12月的感染爆发的原因。目前尚未发现针对该病毒的完全有效的药物和治疗方法。最近,藏红花及其化合物被用于治疗不同的病毒性疾病。藏红花提取物及其主要成分已显示出抗病毒作用。在本研究中,使用引导分子动力学模拟来研究藏红花的四种主要成分,即西红花苷、藏红花酸、藏红花醛和苦藏花素作为药物分子候选物对COVID-19的影响。评估了药物分子与病毒刺突蛋白和主要蛋白酶之间的结合能。基于 Lennard-Jones 和静电势获得的结果表明,藏红花酸对病毒刺突蛋白和主要蛋白酶具有高亲和力。此外,量子力学计算表明,藏红花酸具有强偶极矩和极化率,能够克服脂质双层的能量屏障。药代动力学和ADMET性质证明藏红花酸可能是一种合适的药物候选物。因此,藏红花酸可能是一种有前途的治疗COVID-19的药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b04d/7749391/949e53f88932/gr1.jpg

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