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dc.contributor.authorZheng, Jonathan W
dc.contributor.authorAl Ibrahim, Emad
dc.contributor.authorKaljurand, Ivari
dc.contributor.authorLeito, Ivo
dc.contributor.authorGreen, William H
dc.date.accessioned2025-07-07T20:25:03Z
dc.date.available2025-07-07T20:25:03Z
dc.date.issued2024-12-11
dc.identifier.urihttps://hdl.handle.net/1721.1/159963
dc.description.abstractAcid dissociation constants (pKa ) are widely measured and studied, most typically inwater. Comparatively few datasets and models for non-aqueous pKa values exist. Inthis work, we demonstrate how the pKa in one solvent can be accurately determinedusing reference data in another solvent, corrected by solvation energy calculationsfrom the COSMO-RS method. We benchmark this approach in 10 different solvents,and find that pKa values calculated in six solvents deviate from experimental data onaverage by less than 1 pKa unit. We observe comparable performance on a morediverse test set including amino acids and drug molecules, with higher error for largemolecules. The model performance in four other solvents is worse, with one MAEexceeding 3 pKa units; we discuss how such errors arise due to both model error andinconsistency in obtaining experimental data. Finally, we demonstrate how this tech-nique 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 quan-tity that does not have a consensus value in literature.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/jcc.27517en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceWileyen_US
dc.titlepKa prediction in non-aqueous solventsen_US
dc.typeArticleen_US
dc.identifier.citationZheng, Jonathan W, Al Ibrahim, Emad, Kaljurand, Ivari, Leito, Ivo and Green, William H. 2024. "pKa prediction in non-aqueous solvents." Journal of Computational Chemistry, 46 (1).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalJournal of Computational Chemistryen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-07-07T19:33:39Z
dspace.orderedauthorsZheng, JW; Al Ibrahim, E; Kaljurand, I; Leito, I; Green, WHen_US
dspace.date.submission2025-07-07T19:33:40Z
mit.journal.volume46en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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