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基于植物源化合物的虚拟筛选和分子动力学模拟研究,鉴定新型 SARS-CoV-2 主蛋白酶抑制剂

Virtual screening and molecular dynamics simulation study of plant-derived compounds to identify potential inhibitors of main protease from SARS-CoV-2.

机构信息

Genetic Engineering and Biotechnology at the University of Rajshahi, Bangladesh.

Department of Biochemistry and Biotechnology, University of Science and Technology Chittagong, Bangladesh.

出版信息

Brief Bioinform. 2021 Mar 22;22(2):1402-1414. doi: 10.1093/bib/bbaa428.

Abstract

The new coronavirus (SARS-CoV-2) halts the world economy and caused unbearable medical emergency due to high transmission rate and also no effective vaccine and drugs has been developed which brought the world pandemic situations. The main protease (Mpro) of SARS-CoV-2 may act as an effective target for drug development due to the conservation level. Herein, we have employed a rigorous literature review pipeline to enlist 3063 compounds from more than 200 plants from the Asian region. Therefore, the virtual screening procedure helps us to shortlist the total compounds into 19 based on their better binding energy. Moreover, the Prime MM-GBSA procedure screened the compound dataset further where curcumin, gartanin and robinetin had a score of (-59.439, -52.421 and - 47.544) kcal/mol, respectively. The top three ligands based on binding energy and MM-GBSA scores have most of the binding in the catalytic groove Cys145, His41, Met165, required for the target protein inhibition. The molecular dynamics simulation study confirms the docked complex rigidity and stability by exploring root mean square deviations, root mean square fluctuations, solvent accessible surface area, radius of gyration and hydrogen bond analysis from simulation trajectories. The post-molecular dynamics analysis also confirms the interactions of the curcumin, gartanin and robinetin in the similar binding pockets. Our computational drug designing approach may contribute to the development of drugs against SARS-CoV-2.

摘要

新型冠状病毒(SARS-CoV-2)因其高传播率且尚未开发出有效疫苗和药物,导致全球经济停摆,并引发了难以承受的医疗紧急情况,引发了全球大流行。SARS-CoV-2 的主要蛋白酶(Mpro)由于保守水平,可能成为药物开发的有效靶点。在此,我们采用严格的文献综述流程,从亚洲地区的 200 多种植物中列出了 3063 种化合物。因此,虚拟筛选程序帮助我们根据更好的结合能将总化合物缩小到 19 种。此外,基于 Prime MM-GBSA 的筛选程序进一步筛选化合物数据集,其中姜黄素、甘草亭酸和罗宾丁的评分分别为(-59.439、-52.421 和-47.544)kcal/mol。根据结合能和 MM-GBSA 评分,排名前三的配体与催化槽 Cys145、His41、Met165 的结合最多,这些残基是靶蛋白抑制所必需的。分子动力学模拟研究通过探索从模拟轨迹中得出的均方根偏差、均方根波动、溶剂可及表面积、回转半径和氢键分析,证实了对接复合物的刚性和稳定性。分子动力学后分析还证实了姜黄素、甘草亭酸和罗宾丁在相似结合口袋中的相互作用。我们的计算药物设计方法可能有助于开发针对 SARS-CoV-2 的药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b52/7929365/7b1fb897600e/bbaa428ga.jpg

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