Anti- COVID-19 drug discovery by flavonoid derivatives: an extensive computational drug design approach.

IF 1.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Subhasis Banerjee, Souvik Mukherjee, Mohsin Kazi, Kalyan Kumar Sen, Arka Das, Raquibul Hasan, Yuan-Seng Wu, Aziz Eftekhari, Sreemoy Kanti Das, Mohammad Nur-E-Alam, Md Moklesur Rahman Sarker, Mohd Fahami Nur Azlina
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Abstract

The present study deals with the in-silico analyses of several flavonoid derivatives to explore COVID-19 through pharmacophore modelling, molecular docking, molecular dynamics, drug-likeness, and ADME properties. The initial literature study revealed that many flavonoids, including luteolin, quercetin, kaempferol, and baicalin may be useful against SARS β-coronaviruses, prompting the selection of their potential derivatives to investigate their abilities as inhibitors of COVID-19. The findings were streamlined using in silico molecular docking, which revealed promising energy-binding interactions between all flavonoid derivatives and the targeted protein. Notably, compounds 8, 9, 13, and 15 demonstrated higher potency against the coronavirus Mpro protein (PDB ID 6M2N). Compound 8 has a -7.2 Kcal/mol affinity for the protein and binds to it by hydrogen bonding with Gln192 and π-sulfur bonding with Met-165. Compound 9 exhibited a significant interaction with the main protease, demonstrating an affinity of -7.9 kcal/mol. Gln-192, Glu-189, Pro-168, and His-41 were the principle amino acid residues involved in this interaction. The docking score for compound 13 is -7.5 Kcal/mol, and it binds to the protease enzyme by making interactions with Leu-41, π-sigma, and Gln-189. These interactions include hydrogen bonding and π-sulfur. The major protease and compound 15 were found to bind with a favourable affinity of -6.8 Kcal/mol. This finding was further validated through molecular dynamic simulation for 1ns, analysing parameters such as RMSD, RMSF, and RoG profiles. The RoG values for all four of the compounds varied significantly (35.2-36.4). The results demonstrated the stability of the selected compounds during the simulation. After passing the stability testing, the compounds underwent screening for ADME and drug-likeness properties, fulfilling all the necessary criteria. The findings of the study may support further efforts for the discovery and development of safe drugs to treat COVID-19.

利用黄酮类衍生物发现抗COVID-19药物:一种广泛的计算药物设计方法。
本研究通过药效学建模、分子对接、分子动力学、药物相似性和 ADME 特性,对几种类黄酮衍生物进行分子内分析,以探索 COVID-19。最初的文献研究显示,包括木犀草素、槲皮素、山柰酚和黄芩苷在内的许多类黄酮可能对 SARS β-冠状病毒有用,这促使我们选择它们的潜在衍生物来研究它们作为 COVID-19 抑制剂的能力。研究人员利用硅学分子对接技术对研究结果进行了精简,发现所有黄酮类衍生物与目标蛋白之间都存在良好的能量结合相互作用。值得注意的是,化合物 8、9、13 和 15 对冠状病毒 Mpro 蛋白(PDB ID 6M2N)具有更高的效力。化合物 8 与该蛋白的亲和力为 -7.2 Kcal/mol,通过与 Gln192 的氢键和与 Met-165 的 π 硫键结合。化合物 9 与主要蛋白酶有明显的相互作用,亲和力为 -7.9 kcal/mol。Gln-192、Glu-189、Pro-168 和 His-41 是参与这种相互作用的主要氨基酸残基。化合物 13 的对接得分是-7.5 Kcal/mol,它通过与 Leu-41、π-sigma 和 Gln-189 发生相互作用而与蛋白酶结合。这些相互作用包括氢键和 π-硫。研究发现,主要蛋白酶与化合物 15 的亲和力为 -6.8 Kcal/mol。通过 1ns 的分子动力学模拟,分析 RMSD、RMSF 和 RoG 曲线等参数,进一步验证了这一发现。所有四种化合物的 RoG 值差异很大(35.2-36.4)。结果表明,所选化合物在模拟过程中具有稳定性。通过稳定性测试后,这些化合物进行了 ADME 和药物相似性筛选,符合所有必要标准。这项研究的结果将有助于进一步发现和开发治疗 COVID-19 的安全药物。
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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来源期刊
Cellular and molecular biology
Cellular and molecular biology 生物-生化与分子生物学
CiteScore
1.60
自引率
12.50%
发文量
331
期刊介绍: Cellular and Molecular Biology publishes original articles, reviews, short communications, methods, meta-analysis notes, letters to editor and comments in the interdisciplinary science of Cellular and Molecular Biology linking and integrating molecular biology, biophysics, biochemistry, enzymology, physiology and biotechnology in a dynamic cell and tissue biology environment, applied to human, animals, plants tissues as well to microbial and viral cells. The journal Cellular and Molecular Biology is therefore open to intense interdisciplinary exchanges in medical, dental, veterinary, pharmacological, botanical and biological researches for the demonstration of these multiple links.
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