pK prediction in non-aqueous solvents.

J Comput Chem

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Published: January 2025

AI Article Synopsis

  • Acid dissociation constants (pKa) are mostly studied in water, with fewer datasets available for non-aqueous solvents.
  • The authors show that pKa values in one solvent can be determined accurately using reference data from another solvent, alongside solvation energy calculations from the COSMO-RS method.
  • The method performs well for six solvents with errors below 1 unit, but encounters larger discrepancies in four solvents, especially with large molecules; it also allows estimation of proton transfer energies between solvents, revealing new values for the proton's solvation energy in formamide.

Article Abstract

Acid dissociation constants ( ) are widely measured and studied, most typically in water. Comparatively few datasets and models for non-aqueous values exist. In this work, we demonstrate how the in one solvent can be accurately determined using reference data in another solvent, corrected by solvation energy calculations from the COSMO-RS method. We benchmark this approach in 10 different solvents, and find that values calculated in six solvents deviate from experimental data on average by less than 1 unit. We observe comparable performance on a more diverse test set including amino acids and drug molecules, with higher error for large molecules. The model performance in four other solvents is worse, with one MAE exceeding 3 units; we discuss how such errors arise due to both model error and inconsistency in obtaining experimental data. Finally, we demonstrate how this technique can be used to estimate the proton transfer energy between different solvents, and use this to report a value of the proton's solvation energy in formamide, a quantity that does not have a consensus value in literature.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11633825PMC
http://dx.doi.org/10.1002/jcc.27517DOI Listing

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