针对SARS-CoV-2基因组编码的六种蛋白质受体的天然化合物的虚拟筛选

Q3 Chemistry
Fikry Awaluddin, Irmanida Batubara, Setyanto Tri Wahyudi
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引用次数: 0

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是导致2019冠状病毒(新冠肺炎)的病毒。迄今为止,还没有被证明有效的药物用于治疗或预防新冠肺炎。利用分子对接模拟方法对开发这种病毒的抑制剂进行了研究。以3CL-Pro、PL-Pro、Helicase、N、E和M蛋白作为蛋白靶标。本研究中使用了Autodock Vina、Autodock 4.2和PSOVina。本研究旨在获得活性天然化合物与SARS-CoV-2基因组编码的受体蛋白的配体相互作用及其自由结合能的模型,以提出具有治疗新冠肺炎药物潜力的天然产物中的活性化合物。Corilagin(-14,42 kcal/mol)、黄芩苷7-芸香糖苷(-13,2 kcal/mol。这项研究仅限于计算机模拟,所获得的结果仍然是一种预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Screening of Natural Compounds Against Six Protein Receptors Coded by The SARS-CoV-2 Genome
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes Coronavirus 2019 (COVID-19). To date, there has been no proven effective drug for the treatment or prevention of COVID-19. A study on developing inhibitors for this virus is carried out using molecular docking simulation methods. 3CL-Pro, PL-Pro, Helicase, N, E, and M protein were used as protein targets. Autodock Vina, Autodock 4.2, and PSOVina were used in this study. This study aims to obtain a model of ligands interactions of active natural compounds against the receptor protein encoded by the SARS-CoV-2 genome and their free binding energy to propose active compounds from natural products that have potential as a drug for COVID-19. Corilagin (-14,42 kcal/mol), Scutellarein 7-rutinoside (-13,2 kcal/mol), Genistein 7-O-glucuronide (-10,52 kcal/mol), Biflavonoid-flavone base + 3O (-11,88 and -9,61 kcal/mol), and Enoxolone (-6,96 kcal/mol) has the best free energy value at each protein target indicating that the compound has the potential as a viral protein inhibitor for further investigation. This research is limited to computer simulations, where the results obtained are still a prediction.
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来源期刊
Molekul
Molekul Chemistry-Chemistry (all)
CiteScore
1.30
自引率
0.00%
发文量
31
审稿时长
4 weeks
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