蛋白质结合口袋属性的与用于生成超大虚拟库的命中化学的相关性
Robert X Song1, Marc C Nicklaus2, Nadya I Tarasova3
1Cancer Innovation Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA.
Journal of computer-aided molecular design
|May 16, 2024
概括
基于碎片的药物发现依赖于定制的化学库. 这项研究表明,特定的交叉合反应显著提高了虚拟查的成功率,指导了为更好的药物发现结果选择合成方法.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 虚拟图书馆正在扩大,但对药物候选者的挖掘仍然是一个挑战.
- 使用按需库的基于碎片的方法在药物发现中越来越受欢迎.
- 人工化学对虚拟选成功率的影响还不太清楚.
研究的目的:
- 评估不同化学物质对虚拟选中对接成功率的影响.
- 为定制图书馆生产选择合成方法制定指导方针.
- 为了识别那些增强针对片段药物发现的命中率的反应.
主要方法:
- 使用合成可访问虚拟库存 (SAVI) 库,包括53种反应类型.
- 评估了这些化学物质对对接命中率对40个蛋白质口袋的影响.
- 分析了化学键性质,构件多样性和反应范围与命中率之间的关系.
主要成果:
- 虚拟的命中率在不同的化学品之间有很大的差异.
- 交叉合反应 (Sonogashira,Suzuki-Miyaura,Hiyama,Liebeskind-Srogl) 产生了最高的命中率.
- 击中率取决于债券特性,构建块多样性和反应范围.
结论:
- 某些化学物质,特别是交叉合反应,在药物发现中的虚拟选中更有效.
- 数据表明,扩大高性能反应的构建模块,并根据蛋白质口袋特性定制反应选择.
- 这项研究为优化自定义库合成和虚拟选策略提供了关键的见解.
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