Literature DB >> 17034242

Computational determination of aqueous pKa values of protonated benzimidazoles (Part 2).

Trevor N Brown1, Nelaine Mora-Diez.   

Abstract

Our aim is to develop an effective computational procedure for predicting the aqueous acid equilibrium constants of protonated benzimidazoles at 298.15 K. The experimental determination of these values, apart from been laborious, is a challenge because of the low water solubility of these compounds. Using a variety of descriptors, quantitative structure-property relationships (QSPR) are explored between the experimental aqueous pKa values of a group of fifteen benzimidazoles and descriptors calculated at the B3LYP/6-31+G(d,p) level of theory. Solvent effects are taken into account with the PCM solvation model through both single-point energy calculations (PCM(sp)), and in the geometry optimizations and frequency calculations (PCM(opt)). Descriptors considered are the Gibbs free-energy change of the acid equilibrium in water, the charges on the acidic hydrogen, and on the basic nitrogen, several orbital energies of the protonated and neutral species, and the volume of the solvent cavity. Multiple linear regressions are used to correlate descriptors to the experimental pKa values. Several QSPR equations reproduce the experimental data more accurately, and show stronger correlations than previously attempted methodologies. The predictive capabilities of the QSPR methodologies are tested with four compounds that were not included in the set of benzimidazoles initially investigated. In addition, a correlation between experimental pKa values in water and in a 50% ethanol-water solution is used to estimate aqueous pKa values.

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Year:  2006        PMID: 17034242     DOI: 10.1021/jp0639501

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  6 in total

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4.  On the Accuracy of the Direct Method to Calculate pKa from Electronic Structure Calculations.

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Journal:  J Phys Chem A       Date:  2020-12-24       Impact factor: 2.781

5.  Acid Dissociation Constants of the Benzimidazole Unit in the Polybenzimidazole Chain: Configuration Effects.

Authors:  Liudmil Antonov; Susumu Kawauchi; Kei Shirata
Journal:  Molecules       Date:  2022-02-04       Impact factor: 4.411

6.  Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.

Authors:  Teresa Danielle Bergazin; Nicolas Tielker; Yingying Zhang; Junjun Mao; M R Gunner; Karol Francisco; Carlo Ballatore; Stefan M Kast; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2021-06-24       Impact factor: 3.686

  6 in total

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