通过AlphaFold2驱动的药物重新定位策略加速对疾病X的药物发现
Huixuan Zhao1, Wentao Qi1, Ke Liu1,2
1Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao 266237, China. huxueping@sdu.edu.cn.
Physical chemistry chemical physics : PCCP
|September 22, 2025
概括
针对疾病X的新药发现策略使用AlphaFold和分子对接来选FDA批准的药物. 戈塞林被确定为对抗SARS-CoV-2主要蛋白酶的潜在化合物.
科学领域:
- 药物的发现和开发.
- 计算化学是一种计算化学.
- 病毒学 病毒学
背景情况:
- 全球卫生安全需要强有力的策略来应对新出现的传染病,如X型疾病.
- 现有的药物发现管道需要优化以快速响应.
- SARS-CoV-2的主要蛋白酶 (Mpro) 是抗病毒疗法的关键标.
研究的目的:
- 开发和验证针对X型疾病的综合药物发现战略.
- 使用计算方法识别针对SARS-CoV-2 Mpro的潜在化合物.
- 评估用于疾病X的FDA批准药物的重新用途的可行性.
主要方法:
- 使用AlphaFold2 (AF2) 预测Mpro-peptidyl基质复合物的结构.
- 通过使用基质诱导的结合口袋方法进行分子动力学模拟来优化预测的结构.
- 使用开发的分子对接方法 (MDCC) 对2005年FDA批准的药物的虚拟选.
主要成果:
- 优化的Mpro结构显示了对基质的增强结合亲和力 (ΔGbind = -103.8 kcal mol-1).
- 虚拟查发现了六种候选药物,其中戈塞林成为抗Mpro.com的主要化合物.
- 戈塞林表现出75%的抑制率和3.79μM (pH7.5) 和2.05μM (pH6.6) 的IC50值.
结论:
- 结合AF2,分子动力学和MDCC的综合药物发现战略可用于识别化合物.
- 戈塞林显示出作为一种潜在的治疗药物对抗SARS-CoV-2 Mpro.
- 这种方法为快速发现药物提供了可行的途径,以应对X型疾病的爆发.
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