Moritz K.-E. Wolff, Armin R. Ofial and Jonny Proppe
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引用次数: 0
摘要
亲核试剂和亲电试剂之间的反应速率常数可以通过log k = sN(N + E)的Mayr-Patz方程有效地估计,该方程依赖于三个反应性参数作为输入。利用这个方程,Mayr小组建立了一个参考集,用于确定不带电的亲核试剂与带正电的亲电试剂(苯并氢离子)的反应性参数。随后,初始参考集被不带电的醌类亲核试剂和碳离子亲核试剂扩展,导致反应性尺度向亲核试剂强和亲电试剂弱的方向扩展。在这项工作中,通过自动算法系统地分析了扩展的参考集,以确定未来扩展的关键方面。确定了反应-物种和反应-参数比率的下限,确保在参数优化期间最小化过拟合。研究还表明,去除在预测速率常数中具有高物种特异性模型误差的亲电或亲核物种对整体模型误差有积极的影响,其中一种物种的影响特别大。这些发现和提出的方法可能有助于未来确定可靠的数据集,以构建mayr型反应性量表。
Revisiting Mayr's reactivity database: expansion, sensitivity analysis, and uncertainty quantification†
Rate constants for reactions between nucleophiles and electrophiles can be efficiently estimated by the Mayr–Patz equation, log k = sN(N + E), which relies on three reactivity parameters as input. Utilising this equation, the Mayr group established a reference set for determining reactivity parameters of uncharged π-nucleophiles with positively charged electrophiles (benzhydrylium ions). Subsequently, the initial reference set was expanded by uncharged quinone methide electrophiles and carbanionic nucleophiles, resulting in an extension of the reactivity scales toward stronger nucleophiles and weaker electrophiles. For this work, the extended reference set was systematically analysed by automated algorithms to identify key aspects for future expansions. Lower bounds for reaction-to-species and reaction-to-parameter ratios were determined, ensuring minimal overfitting during parameter optimisation. It is also shown that the removal of electrophilic or nucleophilic species with high species-specific model errors in their predicted rate constants had positive results on the overall model error, with one species having a particularly great influence. These findings and the proposed methods may help future efforts to determine reliable data sets for the construction of Mayr-type reactivity scales.
期刊介绍:
Organic & Biomolecular Chemistry is an international journal using integrated research in chemistry-organic chemistry. Founded in 2003 by the Royal Society of Chemistry, the journal is published in Semimonthly issues and has been indexed by SCIE, a leading international database. The journal focuses on the key research and cutting-edge progress in the field of chemistry-organic chemistry, publishes and reports the research results in this field in a timely manner, and is committed to becoming a window and platform for rapid academic exchanges among peers in this field. The journal's impact factor in 2023 is 2.9, and its CiteScore is 5.5.