基于脚手架的图书馆与按需制造的空间:对化学含量进行比较评估
Léonard Bui1, Teodora Djikic-Stojsic1, Guillaume Bret1
1Laboratoire d'Innovation Thérapeutique, UMR 7200, University of Strasbourg, Faculty of Pharmacy, 74 route du Rhin, 67400, Illkirch-Graffenstaden, France.
ChemMedChem
|November 14, 2025
概括
基于支架的方法有效地产生了针对药物发现的专注化学图书馆,补充了现有的方法. 这一策略有助于通过创建多样化但可以合成的化合物集来优化.
科学领域:
- 药用化学 医学化学
- 化学信息学是一种化学信息学.
- 药物发现 药物发现 药物发现
背景情况:
- 化学图书馆对于药物发现中的高通量选至关重要.
- 之前已经开发了两个库:eIMS (现有化合物) 和vIMS (虚拟化合物).
- vIMS是从eIMS脚手架衍生而来的,并用定制的R组装饰.
研究的目的:
- 为了验证基于支架的图书馆设计方法.
- 将其有效性与基于反应和构建块的方法进行比较.
- 评估基于脚手架的设计对优化的价值.
主要方法:
- 使用Enamine REAL Space库开发了两个以脚手架为重点的数据集.
- 系统地比较了以脚手架为重点的数据集与按需制造的化学空间.
- 在复合集上进行合成可访问性分析.
主要成果:
- 基于脚手架和按需制作的图书馆显示了相似性,但重叠程度有限.
- 基于支架的库中的R组的很大一部分在按需制作的库中没有被识别出来.
- 复合组件表现出低到中等的合成难度.
结论:
- 基于支架的方法对于生成专注的化学库非常有价值.
- 这种方法为药物发现中的优化提供了很高的潜力.
- 基于脚手架的设计补充了传统的图书馆生成方法.
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