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计算机模拟确定海洋来源的天然生物活性化合物为SARS-CoV-2的复制抑制剂。

Computational Simulations Identified Marine-Derived Natural Bioactive Compounds as Replication Inhibitors of SARS-CoV-2.

作者信息

Kumar Vikas, Parate Shraddha, Yoon Sanghwa, Lee Gihwan, Lee Keun Woo

机构信息

Division of Life Sciences, Department of Bio & Medical Big Data (BK4 Program), Research Institute of Natural Science, Gyeongsang National University, Jinju, South Korea.

Division of Applied Life Science, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Gyeongsang National University (GNU), Jinju, South Korea.

出版信息

Front Microbiol. 2021 Apr 21;12:647295. doi: 10.3389/fmicb.2021.647295. eCollection 2021.

Abstract

The rapid spread of COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a worldwide health emergency. Unfortunately, to date, a very small number of remedies have been to be found effective against SARS-CoV-2 infection. Therefore, further research is required to achieve a lasting solution against this deadly disease. Repurposing available drugs and evaluating natural product inhibitors against target proteins of SARS-CoV-2 could be an effective approach to accelerate drug discovery and development. With this strategy in mind, we derived Marine Natural Products (MNP)-based drug-like small molecules and evaluated them against three major target proteins of the SARS-CoV-2 virus replication cycle. A drug-like database from MNP library was generated using Lipinski's rule of five and ADMET descriptors. A total of 2,033 compounds were obtained and were subsequently subjected to molecular docking with 3CL, PL, and RdRp. The docking analyses revealed that a total of 14 compounds displayed better docking scores than the reference compounds and have significant molecular interactions with the active site residues of SARS-CoV-2 virus targeted proteins. Furthermore, the stability of docking-derived complexes was analyzed using molecular dynamics simulations and binding free energy calculations. The analyses revealed two hit compounds against each targeted protein displaying stable behavior, binding affinity, and molecular interactions. Our investigation identified two hit compounds against each targeted proteins displaying stable behavior, higher binding affinity and key residual molecular interactions, with good pharmacokinetic properties, therefore can be considered for further studies.

摘要

由新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的COVID-19的迅速传播是一场全球卫生紧急事件。不幸的是,迄今为止,发现极少数药物对SARS-CoV-2感染有效。因此,需要进一步研究以找到针对这种致命疾病的持久解决方案。重新利用现有药物并评估针对SARS-CoV-2靶蛋白的天然产物抑制剂可能是加速药物发现和开发的有效方法。基于这一策略,我们从海洋天然产物(MNP)中衍生出类药物小分子,并对它们针对SARS-CoV-2病毒复制周期的三种主要靶蛋白进行了评估。利用Lipinski的五规则和ADMET描述符从MNP库生成了一个类药物数据库。总共获得了2033种化合物,随后对它们与3CL、PL和RdRp进行分子对接。对接分析表明,共有14种化合物的对接分数优于参考化合物,并且与SARS-CoV-2病毒靶向蛋白的活性位点残基有显著的分子相互作用。此外,使用分子动力学模拟和结合自由能计算分析了对接衍生复合物的稳定性。分析揭示了针对每种靶向蛋白的两种命中化合物,它们表现出稳定的行为、结合亲和力和分子相互作用。我们的研究确定了针对每种靶向蛋白的两种命中化合物,它们表现出稳定的行为、更高的结合亲和力和关键的残留分子相互作用,具有良好的药代动力学性质,因此可考虑进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9225/8097174/89848db8ba20/fmicb-12-647295-g001.jpg

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