Literature DB >> 18179190

Correlations and predictions of carboxylic acid pKa values using intermolecular structure and properties of hydrogen-bonded complexes.

Li Tao1, Jun Han, Fu-Ming Tao.   

Abstract

Density functional theory calculations have been preformed on a series of hydrogen-bonded complexes of substituted aliphatic and aromatic carboxylic acids with ammonia. Molecular properties, particularly those related to hydrogen bonding, have been carefully examined for their interdependence as well as dependence on the acidity of the acid. The bond length and stretching frequency of the hydroxyl group and the hydrogen-bond length and energy of the complex are shown to be highly correlated with each other and are linearly correlated with available literature pKa values of the carboxylic acids. The linear correlations resulting from the fit to the available pKa values can be used to predict the pKa values of similar carboxylic acids. The pKa values so predicted using the different molecular properties are highly consistent and in good agreement with the literature values. This study suggests that calculated molecular properties of hydrogen-bonded complexes allow effective and systematic prediction of pKa values for a large range of organic acids using the established linear correlations. This approach is unique in its capability to determine the acidity of a particular functional group or the local acidity within a large molecular system such as a protein.

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Year:  2008        PMID: 18179190     DOI: 10.1021/jp710291c

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  5 in total

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Authors:  Jack Guinan; Shaohua Wang; Tony R Hazbun; Hariom Yadav; Shankar Thangamani
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

5.  Physico-chemical characterization of bilirubin-10-sulfonate and comparison of its acid-base behavior with unconjugated bilirubin.

Authors:  Adam Čepa; Veronika Dejmková; Ladislav Lešetický; Ivan Jelínek; Stanislav Smrček; Martin Štícha; Jana Jašprová; Marie Urbanová; Iryna Goncharova; Martin Dračínský; Eliška Procházková; Donald J Ostrow; Libor Vítek
Journal:  Sci Rep       Date:  2021-06-18       Impact factor: 4.379

  5 in total

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