<scp> p <i>K</i> <sub>a</sub> </scp> prediction in non‐aqueous solvents
Acid dissociation constants ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> ) are widely measured and studied, most typically in water. Comparatively few datasets and models for non-aqueous <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> values exist. In this work, we demonstrate how the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> 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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> values calculated in six solvents deviate from experimental data on average by less than 1 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> 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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>p</mml:mi> <mml:msub><mml:mi>K</mml:mi> <mml:mi>a</mml:mi></mml:msub> </mml:mrow> <mml:annotation>$$ \mathrm{p}{K}_{\mathrm{a}} $$</mml:annotation></mml:semantics> </mml:math> 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.
Authors
- Emad Al Ibrahim (ORCID: https://orcid.org/0000-0001-8595-5102)
- William H. Green (ORCID: https://orcid.org/0000-0003-2603-9694)
- Jonathan W. Zheng (ORCID: https://orcid.org/0000-0002-4863-1325)
- Ivari Kaljurand (ORCID: https://orcid.org/0000-0001-6033-7842)
- Ivo Leito (ORCID: https://orcid.org/0000-0002-3000-4964)
Institutions
- University of Tartu (EE)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Journal of Computational Chemistry
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1002/jcc.27517
- Citations
- 7
- Primary Topic
- Free Radicals and Antioxidants
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- Eesti Teadusagentuur
- King Abdullah University of Science and Technology