为识别新型SARS-Cov-2 Mpro 抑制剂的大型化学图书馆的共识药理策略
Angel J Ruiz-Moreno1, Raziel Cedillo-González1,2,3, Luis Cordova-Bahena1,4
1School of Medicine, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Journal of chemical information and modeling
|March 12, 2024
概括
为SARS-CoV-2 Mpro开发了一个新的共识药模型. 这种工具确定了新型抑制剂,其中有7种化合物表现出酶活性,推动了对严重急性呼吸综合征冠状病毒2的药物发现.
科学领域:
- *计算化学和结构生物学.
- * 药物发现和药物化学.
背景情况:
- *SARS-CoV-2主要蛋白酶 (Mpro) 对于病毒复制至关重要,也是关键药物标.
- *现有的Mpro抑制剂通常基于已知的晶体结构,限制了化学多样性.
研究的目的:
- *为更广泛的抑制剂查开发一个Mpro共识药模型.
- * 为了识别具有Mpro抑制活性的新型化学支架.
主要方法:
- *从152个Mpro抑制剂的生物活性对应物中生成了一个共识药理模型.
- *验证了模型在再现晶体结合模式中的准确性 (77%的成功率).
- *使用药理相匹配和化学信息学选了超过3.4亿种化合物.
主要成果:
- *鉴定出新的Mpro抑制剂候选药物,其化学成分与已知抑制剂不同.
- * 评估了16个候选药物,其中7个显示Mpro酶抑制活性.
- * 三种化合物表现出中微分子IC50值.
结论:
- *共识药理是发现各种Mpro抑制剂的宝贵工具.
- *开发的方法和开放访问代码可以应用于其他毒品目标.
- *这种方法有助于识别具有改善活性和新型支架的化合物.
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