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针对严重急性呼吸综合征冠状病毒2型主要蛋白酶的强效荧光抑制剂:硫杂蒽酮的重新利用。

SARS-CoV-2 main protease targeting potent fluorescent inhibitors: Repurposing thioxanthones.

作者信息

Batibay Gönül S, Metin Eyüp

机构信息

Department of Chemistry, Faculty of Arts and Sciences, Yıldız Technical University, İstanbul, Turkiye.

Department of Materials Science and Technology, Faculty of Science, Turkish-German University, İstanbul, Turkiye.

出版信息

Turk J Chem. 2023 Jan 5;47(2):329-345. doi: 10.55730/1300-0527.3541. eCollection 2023.

Abstract

The coronavirus disease, COVID-19, is the major focus of the whole world due to insufficient treatment options. It has spread all around the world and is responsible for the death of numerous human beings. The future consequences for the disease survivors are still unknown. Hence, all contributions to understand the disease and effectively inhibit the effects of the disease have great importance. In this study, different thioxanthone based molecules, which are known to be fluorescent compounds, were selectively chosen to study if they can inhibit the main protease of SARS-CoV-2 using various computational tools. All candidate ligands were optimized, molecular docking and adsorption, distribution, metabolism, excretion, and toxicity (ADMET) studies were conducted and subsequently, some were subjected to 100 ns molecular dynamics simulations in conjunction with the known antiviral drugs, favipiravir, and hydroxychloroquine. It was found that different functional groups containing thioxanthone based molecules are capable of different intermolecular interactions. Even though most of the studied ligands showed stable interactions with the main protease, para-oxygen-di-acetic acid functional group containing thioxanthone was found to be a more effective inhibitor due to the higher number of intermolecular interactions and higher stability during the simulations.

摘要

由于治疗方案不足,冠状病毒病(COVID-19)成为全世界关注的焦点。它已在全球范围内传播,导致众多人死亡。疾病幸存者的未来后果仍然未知。因此,所有有助于了解该疾病并有效抑制其影响的贡献都具有重要意义。在本研究中,基于已知为荧光化合物的不同噻吨酮类分子,使用各种计算工具选择性地研究它们是否能抑制SARS-CoV-2的主要蛋白酶。对所有候选配体进行了优化,进行了分子对接以及吸附、分布、代谢、排泄和毒性(ADMET)研究,随后,一些配体与已知抗病毒药物法匹拉韦和羟氯喹一起进行了100纳秒的分子动力学模拟。结果发现,含有不同官能团的噻吨酮类分子能够发生不同的分子间相互作用。尽管大多数研究的配体与主要蛋白酶表现出稳定的相互作用,但含有对氧二乙酸官能团的噻吨酮由于分子间相互作用数量较多且在模拟过程中稳定性较高,被发现是一种更有效的抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c320/10388053/c0d031b8be08/turkjchem-47-2-329f1.jpg

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