Literature DB >> 19534454

Performance of the IEF-MST solvation continuum model in a blind test prediction of hydration free energies.

Ignacio Soteras1, Flavio Forti, Modesto Orozco, F Javier Luque.   

Abstract

The IEF-MST continuum solvation model is used to predict the hydration free energies of a set of 63 multifunctional compounds very recently compiled as a blind test (denoted SAMPL1) for computational solvation methods (Guthrie, J. P. J. Phys. Chem. B 2009, 113, 4501). Computations were performed using the IEF-MST versions parametrized at both HF/6-31G(d) and B3LYP/6-31G(d) levels. For direct comparison with other methods, computations were performed using the frozen geometries provided with the SAMPL1 data set, as well as the gas phase optimized geometries following the implementation of the IEF-MST model. Comparison with experimental data yields a root-mean square deviation for the whole set of compounds of 2.7 and 2.4 kcal/mol at both HF and B3LYP levels. The agreement between IEF-MST and experimental data is then quite remarkable, especially considering the reduced set of training compounds (72 data in water) used in the parametrization of the IEF-MST method.

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Year:  2009        PMID: 19534454     DOI: 10.1021/jp903514u

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


  4 in total

1.  Quantum chemical studies of nucleic acids: can we construct a bridge to the RNA structural biology and bioinformatics communities?

Authors:  Jiří Šponer; Judit E Šponer; Anton I Petrov; Neocles B Leontis
Journal:  J Phys Chem B       Date:  2010-11-04       Impact factor: 2.991

2.  Prediction of the n-octanol/water partition coefficients in the SAMPL6 blind challenge from MST continuum solvation calculations.

Authors:  William J Zamora; Silvana Pinheiro; Kilian German; Clara Ràfols; Carles Curutchet; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2019-11-27       Impact factor: 3.686

3.  Performance of the IEF-MST solvation continuum model in the SAMPL2 blind test prediction of hydration and tautomerization free energies.

Authors:  Ignacio Soteras; Modesto Orozco; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2010-03-19       Impact factor: 3.686

4.  Prediction of n-octanol/water partition coefficients and acidity constants (pKa) in the SAMPL7 blind challenge with the IEFPCM-MST model.

Authors:  Antonio Viayna; Silvana Pinheiro; Carles Curutchet; F Javier Luque; William J Zamora
Journal:  J Comput Aided Mol Des       Date:  2021-07-10       Impact factor: 3.686

  4 in total

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