2023
DOI: 10.26434/chemrxiv-2023-6dh2q
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Holistic Prediction of Nucleophilicity and Electrophilicity Based on a Machine Learning Approach

Abstract: Nucleophilicity and electrophilicity dictate the reactivity of polar organic reactions. In the past decades, Mayr et al. established a quantitative scale for nucleophilicity (N) and electrophilicity (E), which proved to be useful tools for the rationalization of chemical reactivity. In this study, a holistic prediction model was developed through a machine-learning approach. rSPOC, an ensemble molecular representation with structural, physicochemical, and solvent features, was developed for this purpose. With … Show more

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Cited by 2 publications
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“…For example, as far as studies in predicting depression are concerned, studies like those done by Dai Su et al in a longitudinal study of the older adult population in China are a good example ( 20 ). In addition, it is possible to cross-combine multiple models in ML to form a hybrid model and verify whether the hybrid model outperforms the traditional single ML model in terms of predictive performance ( 61 ). To better psychological doctors and health care at all levels, provide appropriate information and services.…”
Section: Discussionmentioning
confidence: 99%
“…For example, as far as studies in predicting depression are concerned, studies like those done by Dai Su et al in a longitudinal study of the older adult population in China are a good example ( 20 ). In addition, it is possible to cross-combine multiple models in ML to form a hybrid model and verify whether the hybrid model outperforms the traditional single ML model in terms of predictive performance ( 61 ). To better psychological doctors and health care at all levels, provide appropriate information and services.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, a lot of new ML approaches based on Mayr's database have recently emerged. [17][18][19][20][21][22][23] In this work, we will focus on the studies by Van Vranken and Baldi showing that calculated methyl cation affinities (MCAs) and methyl anion affinities (MAAs) of structurally different molecules correlate with Mayr's N •s N and E, respectively, when considering solvent effects. 15,16 Based on these findings, they created two QM-derived datasets with reactivity parameters for 1,232 nucleophiles and 1,113 electrophiles (we have excluded 76 duplicates) covering ∼ 50 orders of magnitude in each case.…”
Section: Introductionmentioning
confidence: 99%