<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pezzola S</submitter><funding>Ministry of Education, Universities and Research</funding><pagination>1255</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10974196</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>29(6)</volume><pubmed_abstract>The selection of a "perfect tool" for the theoretical determination of acid-base dissociation constants (Ka) is still puzzling. Recently, we developed a user-friendly model exploiting CAM-B3LYP for determining pKa with impressive reliability. Herein, a new challenge is faced, examining a panel of functionals belonging to different rungs of the "Jacob's ladder" organization, which classifies functionals according to their level of theory. Specifically, meta-generalized gradient approximations (GGAs), hybrid-GGAs, and the more complex range-separated hybrid (RSH)-GGAs were investigated in predicting the pKa of differently substituted carboxylic acids. Therefore, CAM-B3LYP, WB97XD, B3PW91, PBE1PBE, PBEPBE and TPSSTPSS were used, with 6-311G+(d,p) as the basis set and the solvation model based on density (SMD). CAM-B3LYP showed the lowest mean absolute error value (MAE = 0.23) with relatively high processing time. PBE1PBE and B3PW91 provided satisfactory predictions (MAE = 0.34 and 0.38, respectively) with moderate computational time cost, while PBEPBE, TPSSTPSS and WB97XD led to unreliable results (MAE > 1). These findings validate the reliability of our model in predicting carboxylic acids pKa, with MAE well below 0.5 units, using a simplistic theoretical level and a low-cost computational approach.</pubmed_abstract><journal>Molecules (Basel, Switzerland)</journal><pubmed_title>Towards the "Eldorado" of pKa Determination: A Reliable and Rapid DFT Model.</pubmed_title><pmcid>PMC10974196</pmcid><funding_grant_id>2022KPK8WM</funding_grant_id><pubmed_authors>Sabuzi F</pubmed_authors><pubmed_authors>Venanzi M</pubmed_authors><pubmed_authors>Conte V</pubmed_authors><pubmed_authors>Galloni P</pubmed_authors><pubmed_authors>Pezzola S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Towards the "Eldorado" of pKa Determination: A Reliable and Rapid DFT Model.</name><description>The selection of a "perfect tool" for the theoretical determination of acid-base dissociation constants (Ka) is still puzzling. Recently, we developed a user-friendly model exploiting CAM-B3LYP for determining pKa with impressive reliability. Herein, a new challenge is faced, examining a panel of functionals belonging to different rungs of the "Jacob's ladder" organization, which classifies functionals according to their level of theory. Specifically, meta-generalized gradient approximations (GGAs), hybrid-GGAs, and the more complex range-separated hybrid (RSH)-GGAs were investigated in predicting the pKa of differently substituted carboxylic acids. Therefore, CAM-B3LYP, WB97XD, B3PW91, PBE1PBE, PBEPBE and TPSSTPSS were used, with 6-311G+(d,p) as the basis set and the solvation model based on density (SMD). CAM-B3LYP showed the lowest mean absolute error value (MAE = 0.23) with relatively high processing time. PBE1PBE and B3PW91 provided satisfactory predictions (MAE = 0.34 and 0.38, respectively) with moderate computational time cost, while PBEPBE, TPSSTPSS and WB97XD led to unreliable results (MAE > 1). These findings validate the reliability of our model in predicting carboxylic acids pKa, with MAE well below 0.5 units, using a simplistic theoretical level and a low-cost computational approach.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-26T11:29:26.862Z</modification><creation>2025-04-06T13:40:34.792Z</creation></dates><accession>S-EPMC10974196</accession><cross_references><pubmed>38542892</pubmed><doi>10.3390/molecules29061255</doi></cross_references></HashMap>