Suppr超能文献

虚拟设计的新冠病毒主要蛋白酶抑制剂的筛选、分子模拟及动力学

Screening, molecular simulation & kinetics of virtually designed covid-19 main protease inhibitors.

作者信息

Aleissa Mohammed S, Al-Zharani Mohammed, Hasnain Md Saquib, Alkahtani Saad

机构信息

Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.

Department of Pharmacy, Palamau Institute of Pharmacy, Chianki, Daltonganj 822102, Jharkhand, India.

出版信息

J King Saud Univ Sci. 2022 Nov;34(8):102283. doi: 10.1016/j.jksus.2022.102283. Epub 2022 Aug 31.

Abstract

Coronavirus (covid-19) infection is considered to be deadliest ever pandemic experienced by the human being. It has very badly affected the socio-economic health of human and stuck the scientific community to think and rethink about its complete eradication. But due to no effective treatment or unavailability of vaccine the health professional could not show any significant improvement to control the pandemic. The situation needs newer molecule, vaccine or effective treatment to control covid-19 infection. Different target in viruses has been explored and proteases enzymes were found to be therapeutically effective target for the design of potential anti-covid-19 molecule as it plays the vital role in viral replication and assembly. Structure-based drug design was employed to discover the small molecule of anti-covid-19. Here we considered the small library of naturally occurring polyphenolic compounds and molecular docking, Molecular dynamics (MD) simulations, free binding energy calculation ADME calculations to identify the newer HITs. Based upon their score the two molecules were identified as promising candidate. The docking scores were found to be -7.643 and -7.065 for the HIT1 and HIT-2 respectively. In MD simulations study the RMSD values were found to be 4.3 Å & 4.9 Å respectively. To validate these results MM-GBSA was performed and their binding free energies were computationally determined. The prime energy values of identified HITs (-13412.45 & -13441.8 kJ/mole) were found to be very close proximity to reference molecule (-13493.05 kJ/mole). Then ADME calculations were performed to calculate the drug likeliness identified HITs. BY considering all the values comparative to reference molecule and obtained pharmacokinetic properties of identified HITs we can suggest that HIT-1 and HIT-2 would be the most promising molecules that can inhibit the main protease enzyme of covid-19. These two molecules would become the potential drug candidate for the treatment of covid-19 infections.

摘要

冠状病毒(新冠病毒-19)感染被认为是人类经历过的最致命的大流行。它对人类的社会经济健康造成了极其严重的影响,并促使科学界反复思考如何彻底根除它。但由于没有有效的治疗方法或疫苗,卫生专业人员在控制疫情方面未能取得任何显著进展。这种情况需要新的分子、疫苗或有效治疗方法来控制新冠病毒-19感染。人们已经探索了病毒中的不同靶点,发现蛋白酶是设计潜在抗新冠病毒-19分子的有效治疗靶点,因为它在病毒复制和组装中起着至关重要的作用。基于结构的药物设计被用于发现抗新冠病毒-19的小分子。在此,我们考虑了天然存在的多酚化合物的小型文库,并通过分子对接、分子动力学(MD)模拟、自由结合能计算和ADME计算来识别新的命中物。根据得分,确定了两个分子为有前景的候选物。命中物1和命中物2的对接分数分别为-7.643和-7.065。在MD模拟研究中,RMSD值分别为4.3 Å和4.9 Å。为了验证这些结果,进行了MM-GBSA计算,并通过计算确定了它们的结合自由能。发现所识别命中物的主要能量值(-13412.45和-13441.8 kJ/mol)与参考分子(-13493.05 kJ/mol)非常接近。然后进行ADME计算,以计算所识别命中物的药物相似性。通过考虑与参考分子相比的所有值以及所识别命中物的药代动力学性质,我们可以认为命中物1和命中物2将是最有前景的分子,能够抑制新冠病毒-19的主要蛋白酶。这两种分子将成为治疗新冠病毒-19感染的潜在药物候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c393/9428119/82a86e8d51c5/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验