SMiPoly:使用基于规则的聚合反应生成可合成的聚合物虚拟库
Mitsuru Ohno1, Yoshihiro Hayashi2,3, Qi Zhang2
1Daicel Corporation, Kita-ku, 530-0011 Osaka, Japan.
Journal of chemical information and modeling
|August 21, 2023
概括
本研究将小分子引入聚合物 (SMiPoly),这是一个Python库,可以从小分子生成可合成的聚合物. SMiPoly解决了机器学习设计的聚合物的合成路径的识别挑战,加速了新的聚合物合成.
科学领域:
- 聚合物化学 聚合物化学
- 计算化学计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 机器学习加速了聚合物研究中的de novo分子设计.
- 目前的方法难以确定设计聚合物的合成路径.
- 分子发生器对于创建和修改聚合物结构至关重要.
研究的目的:
- 开发一种用于生成可合成聚合物的计算工具.
- 为应对预测设计聚合物合成可访问性的尚未解决的挑战.
- 将虚拟聚合物生成集成到分子设计工作流程中.
主要方法:
- 开发了将小分子转化为聚合物 (SMiPoly) 的 Python 库.
- 对常见的聚合反应实施了22条化学规则.
- 从1083种易于获得的单体生成聚合物,覆盖7种分子类型.
主要成果:
- 产生了169,347种独特的聚合物,包括多聚烯,聚,聚胺等.
- 与现有的合成聚合物相比,实现了48%的覆盖率和53%的新性.
- 证明SMiPoly能够创建潜在可合成聚合物的详尽列表.
结论:
- SMiPoly促进了可合成聚合物的虚拟生成.
- 该图书馆通过预测合成路径来增强de novo聚合物设计.
- 结合SMiPoly可以加快对合成可行的候选聚合物的选择.
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