In Silico Discovery of SARS-CoV-2 Main Protease Inhibitors Using Docking, Molecular Dynamics, and Fragment Molecular Orbital Calculations.

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2025-02-13 Epub Date: 2025-01-31 DOI:10.1021/acs.jpcb.4c07920
Takeshi Ishikawa, Kenji Matsumoto, Toshiyuki Hamada, Hinako Koze, Masanori Baba, Mika Okamoto, Masayuki Sudoh
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Abstract

The 3C-like protease of severe acute respiratory syndrome coronavirus 2, known as the main protease (Mpro), is an attractive drug target for the treatment of coronavirus disease 2019. This study reports the discovery of novel Mpro inhibitors using several in silico techniques, including docking, molecular dynamics (MD), and fragment molecular orbital (FMO) calculations. We performed docking calculations on 5950 compounds with bioactivity, and 12 compounds were selected. An enzymatic assay was conducted, revealing that BP-1-102 exhibits significant Mpro inhibitory activity with an IC50 of 11.1 μM. The identification of seed compounds from the experiments on a few compounds demonstrates the effectiveness of our docking calculations. Furthermore, the detailed analyses using MD and FMO calculations suggested an interaction mechanism in which the hydroxyl group of BP-1-102 forms a hydrogen bond with E166 of Mpro. The Mpro inhibitory activity of SH-4-54, a derivative without the aforementioned hydroxyl group, was investigated and observed to be significantly reduced, with an IC50 of 81.5 μM. This result strongly supports the suggested interaction mechanism.

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利用对接、分子动力学和片段分子轨道计算在计算机上发现SARS-CoV-2主要蛋白酶抑制剂。
严重急性呼吸综合征冠状病毒2的3c样蛋白酶,被称为主蛋白酶(Mpro),是治疗2019冠状病毒病的一个有吸引力的药物靶点。本研究报告了使用多种硅技术发现的新型Mpro抑制剂,包括对接、分子动力学(MD)和片段分子轨道(FMO)计算。我们对5950个具有生物活性的化合物进行对接计算,筛选出12个化合物。酶促实验表明,BP-1-102具有显著的Mpro抑制活性,IC50为11.1 μM。从几种化合物的实验中鉴定出种子化合物,证明了我们的对接计算的有效性。此外,通过MD和FMO计算,详细分析了BP-1-102的羟基与Mpro的E166形成氢键的相互作用机制。不含上述羟基的SH-4-54对Mpro的抑制活性明显降低,IC50为81.5 μM。这一结果有力地支持了所提出的相互作用机制。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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