将立体选择性合成的复杂性与预测工具的演变联系起来
1Department of Chemistry, University of British Columbia 2036 Main Mall Vancouver British Columbia V6T 1Z1 Canada jreid@chem.ubc.ca.
Chemical science
|February 6, 2025
概括
预测模型对于在有机合成中导航化学空间至关重要. 本综述详细介绍了这些模型的演变,从直觉到定量方法,帮助奇拉分子合成.
科学领域:
- 有机化学 有机化学
- 计算化学计算化学
- 化学合成 化学合成
背景情况:
- 合成化学的进步需要用于探索化学空间的预测模型.
- 反应结果预测已经从定性直觉演变为定量计算方法.
- 物理有机化学原理是这些预测工具的基础.
研究的目的:
- 审查有机合成中预测模型的演变.
- 突出指导性有机分子合成的策略.
- 展示这些模型如何解决合成挑战和选择性概念.
主要方法:
- 对有机合成的历史和当前方法的审查.
- 分析定量方法,包括量子化学和机器学习.
- 专注于有机化学化学策略的周期化,用于合合成.
主要成果:
- 展示从化学直觉到复杂的预测模型的进展.
- 突出物理有机化学在模型开发中的作用.
- 展示这些模型对合成挑战的成功应用.
结论:
- 预测模型的演变代表了合成化学的重大进步.
- 这些定量工具对于在复杂的化学空间中导航至关重要.
- 审查的策略有效地指导了奇拉性有机分子的合成.
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