Enhancing Carbon Acid pK<sub>a</sub> Prediction by Augmentation of Sparse Experimental Datasets with Accurate AIBL (QM) Derived Values

The prediction of the aqueous pK<sub>a</sub> of carbon acids by Quantitative Structure Property Relationship or cheminformatics-based methods is a rather arduous problem. Primarily, there are insufficient high-quality experimental data points measured in homogeneous conditions to allow f...

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Bibliographic Details
Main Authors: Jeffrey Plante, Beth A. Caine, Paul L. A. Popelier
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/4/1048