<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.

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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

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article

p K a prediction in non‐aqueous solvents

Emad Al Ibrahim, William H. Green, Jonathan W. Zheng, Ivari Kaljurand et al.
7 citations
Journal of Computational Chemistry
Free Radicals and Antioxidants
1.75
article

p K a prediction in non‐aqueous solvents

Emad Al Ibrahim, William H. Green, Jonathan W. Zheng, Ivari Kaljurand, Ivo Leito
article en
7 citations

Abstract

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.

Journal of Computational ChemistryVol. 46(1)
University of Tartu (EE), Massachusetts Institute of Technology (US)
Eesti Teadusagentuur, King Abdullah University of Science and Technology
Clean water and sanitation
Openalex Percentile: Top 16%
Free Radicals and Antioxidants
1.75
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