基于原子的机器学习用于估计核友性和电友性,并应用到回复合成和化学稳定性
Nicolai Ree1, Jan M Wollschläger2, Andreas H Göller3
1Department of Chemistry, University of Copenhagen Universitetsparken 5 2100 Copenhagen Ø Denmark jhjensen@chem.ku.dk.
Chemical science
|March 5, 2025
概括
这项研究引入了一种机器学习模型,使用甲基和离子亲和力来预测分子核友性和电友性. 该方法准确地估计了用于逆合成和稳定性评估的化学反应性.
科学领域:
- 计算化学的计算化学
- 机器学习 机器学习
- 化学反应性 化学反应性
背景情况:
- 核性和电性对于预测化学反应结果至关重要.
- 准确估计这些特性有助于理解反应性和选择性.
- 之前的工作为这些估计建立了自动化量子化学方法.
研究的目的:
- 开发一种基于原子的机器学习 (ML) 方法,用于预测甲基离子亲和关系 (MCAs) 和甲基离子亲和关系 (MAAs).
- 使用MCA和MAA预测来估计核友性和电友性.
- 将ML模型应用于实际的化学挑战,如逆合成和稳定性分析.
主要方法:
- 开发了基于原子的机器学习模型来预测MCAs和MAAs.
- 在约5万个中性药物样分子上使用QM衍生数据进行训练和验证模型.
- 实现了高预测准确度,Pearson相关系数为MCA的0.97和MAA的0.95.
主要成果:
- 该ML模型在预测MCA和MAA方面表现出很高的性能.
- 成功地应用了ML方法来过基于化学选择性的回合成路径.
- 利用这些模型来评估和碳酸盐对水解的化学稳定性.
结论:
- 开发的ML方法为估计核友和电友性提供了一种高效和准确的方法.
- 这种工具可以显著帮助预测反应结果,优化合成路径和评估化学稳定性.
- 免费可用的代码和Web应用程序促进了化学研究的更广泛的采用和应用.
相关概念视频
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In 1896, the German chemist Paul Walden discovered that he could interconvert pure enantiomeric (+) and (-) malic acids through a series of reactions. This conversion suggested the involvement of optical inversion during the substitution reaction. Further, in 1930, Sir Christopher Ingold described for the first time two different forms of nucleophilic substitution reactions, which are known as SN1 (nucleophilic substitution unimolecular) and SN2 (nucleophilic substitution...
In 1896, the German chemist Paul Walden discovered that he could interconvert pure enantiomeric (+) and (-) malic acids through a series of reactions. This conversion suggested the involvement of optical inversion during the substitution reaction. Further, in 1930, Sir Christopher Ingold described for the first time two different forms of nucleophilic substitution reactions, which are known as SN1 (nucleophilic substitution unimolecular) and SN2 (nucleophilic substitution...
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With increased substitution on the alkyl halide,...
With increased substitution on the alkyl halide,...
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Nucleophiles
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Radicals adjacent to electron-donating groups are called nucleophilic radicals. These radicals readily react with electrophilic alkenes. The SOMO–LUMO interactions are the driving force for the reaction, where the high-energy SOMO of the electron-rich, nucleophilic radicals interacts with the low-energy LUMO of the electron-deficient, electrophilic alkenes. Such SOMO–LUMO interactions are the basis of reactive radical traps, affecting the selectivity in radical reactions. For...
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