从GDB化学空间对分子复杂性的看法
Ye Buehler1, Jean-Louis Reymond1
1Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.
Journal of chemical information and modeling
|May 15, 2025
概括
通过非二元节点 (MC1,MC2) 测量的分子复杂性与合成难度相关. 这些指标适用于各种化学数据库,帮助分子选择用于研究.
科学领域:
- 计算化学计算化学
- 药用化学 医学化学
- 有机合成 有机合成
背景情况:
- 选择用于研究的分子需要了解分子复杂性,合成可访问性和生物特性之间的关系.
- 巨大的化学空间,如生成数据库 (GDBs) 中的化学空间,包含许多具有高分子复杂性的化合物,这给合成带来了挑战.
研究的目的:
- 定义和评估基于分子图中非二元节点的分子复杂性 (MC1,MC2) 的简单指标.
- 评估这些复杂度指标与潜在的合成难度之间的相关性.
- 为了确定MC1和MC2对各种化学化合物集的适用性.
主要方法:
- 在分子图中使用非二元节点的分数 (MC1) 和数量 (MC2) 来计算分子复杂性.
- 将MC1和MC2应用于生成数据库 (GDB),ZINC (商业选化合物),ChEMBL (生物活性分子) 和COCONUT (天然产品) 的分子.
- 将MC1和MC2与现有的分子复杂性和合成可访问性的测量方法进行比较.
主要成果:
- 分子图中非二元节点的分数或数量的增加作为分子复杂性的简单指标.
- MC1和MC2有效量化分子复杂性,并在各种化学数据集中与潜在的合成困难相关联.
- 拟议的指标证明了广泛适用于各种化学库,包括选化合物,药物和天然产品.
结论:
- MC1和MC2为评估分子复杂性和预测合成挑战提供了有价值的,易于计算的指标.
- 这些指标可以帮助战略选择用于合成和生物研究的分子.
- 这项研究强调了基于图形的属性的实用性,以了解与药物发现和化学合成相关的分子特性.
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