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在中发现了针对SARS-CoV-2主要蛋白酶的小分子抑制剂

Menghan Gao^1,2,3, Dongwei Kang⁴, Na Liu⁴

¹School of Pharmacy and Pharmaceutical Sciences & Institute of Materia Medica, Shandong First Medical University & Shandong Academy of Medical Sciences, 6699 Qingdao Road, Jinan 250117, China.

Molecules (Basel, Switzerland)

|July 29, 2023

概括

研究人员选了针对主要蛋白酶 (M^pro) 的新型SARS-CoV-2抑制剂. 两种化合物AF-399/40713777和AI-942/42301830显示出中度活性,并有可能用于COVID-19治疗开发.

科学领域:

病毒学病毒学
药用化学医学化学
计算生物学计算生物学

背景情况:

由于COVID-19疫情对全球健康构成重大威胁,因此需要开发新的抗病毒疗法.
严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 主蛋白酶 (M^pro) 是抗病毒药物发现的关键和保存目标.
现有的治疗方法需要用新型治疗剂来增强.

研究的目的:

识别针对SARS-CoV-2 M^pro的新型小分子抑制剂.
通过虚拟查和生物测试来评估潜在的候选药物.
为开发有效的COVID-19干预治疗奠定基础.

主要方法:

采用基于分子对接的虚拟查,对抗SARS-CoV-2 M^pro的保存催化部位.
进行生物评估,以评估已识别的化合物的抑制活性.
在分析中使用,包括分子动力学 (MD) 模拟,结合自由能计算和AMDET配置文件.

主要成果:

确定了两个化合物,AF-399/40713777和AI-942/42301830,表现出对SARS-CoV-2 M^pro的中度抑制活性.
在 silico 数据提供了有关已识别的抑制剂的结合机制和稳定性的见解.
鉴定的化合物显示出作为进一步药物开发的起点的潜力.

结论:

这项研究成功地确定了SARS-CoV-2 M^pro的潜在小分子抑制剂.
已识别的化合物AF-399/40713777和AI-942/42301830需要进一步调查COVID-19治疗.
计算和实验方法的结合为发现新型抗病毒剂提供了可行的策略.

关键词:

模拟MD的模拟方法这就是SARS-CoV-2病毒.主要的蛋白酶抑制剂基于分子对接的虚拟选.

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