抗Covid-19分子:一种用于药物开发的计算机方法

Rhythm Bharti , Sandeep Kumar Shukla
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引用次数: 11

摘要

严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2)在全球造成大量死亡,成为对公共卫生的严重威胁。本研究旨在通过计算方法研究SARS-CoV-2核糖核酸(RNA)依赖性RNA聚合酶(RdRp)结合和随后抑制的相关机制,从而有助于开发有效的治疗策略。通过分子对接筛选6种具有抗肿瘤特性的天然分子(Ellipticine, Ecteinascidin, homharringtonine, Dolastatin 10, Halichondrin和Plicamycin)。并进行了吸收、分布、代谢和排泄(ADME)研究,分析了这些化合物的药物样性质。对接结果清楚地显示配体与SARS-CoV-2 RdRp蛋白结合。有趣的是,所有的配体都遵循利平斯基的五法则。这些结果为重新利用和使用来自植物和动物的分子作为2019冠状病毒病(COVID-19)感染的潜在治疗方法提供了基础,因为它们可能是有效的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Molecules against Covid-19: An in silico approach for drug development

A large number of deaths have been caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide, turning it into a serious and momentous threat to public health. This study tends to contribute to the development of effective treatment strategies through a computational approach, investigating the mechanisms in relation to the binding and subsequent inhibition of SARS-CoV-2 ribonucleic acid (RNA)-dependent RNA polymerase (RdRp). Molecular docking was performed to screen six naturally occurring molecules with antineoplastic properties (Ellipticine, Ecteinascidin, Homoharringtonine, Dolastatin 10, Halichondrin, and Plicamycin). Absorption, distribution, metabolism, and excretion (ADME) investigation was also conducted to analyze the drug-like properties of these compounds. The docked results have clearly shown binding of ligands to the SARS-CoV-2 RdRp protein. Interestingly, all ligands were found to obey Lipinski’s rule of five. These results provide a basis for repurposing and using molecules, derived from plants and animals, as a potential treatment for the coronavirus disease 2019 (COVID-19) infection as they could be effective therapeutics for the same.

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来源期刊
Journal of Electronic Science and Technology
Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
0.00%
发文量
1362
审稿时长
99 days
期刊介绍: JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.
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