Literature DB >> 31776809

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

William J Zamora1,2, Silvana Pinheiro2, Kilian German3, Clara Ràfols3, Carles Curutchet2, F Javier Luque4.   

Abstract

The IEFPCM/MST continuum solvation model is used for the blind prediction of n-octanol/water partition of a set of 11 fragment-like small molecules within the SAMPL6 Part II Partition Coefficient Challenge. The partition coefficient of the neutral species (log P) was determined using an extended parametrization of the B3LYP/6-31G(d) version of the Miertus-Scrocco-Tomasi continuum solvation model in n-octanol. Comparison with the experimental data provided for partition coefficients yielded a root-mean square error (rmse) of 0.78 (log P units), which agrees with the accuracy reported for our method (rmse = 0.80) for nitrogen-containing heterocyclic compounds. Out of the 91 sets of log P values submitted by the participants, our submission is within those with an rmse < 1 and among the four best ranked physical methods. The largest errors involve three compounds: two with the largest positive deviations (SM13 and SM08), and one with the largest negative deviations (SM15). Here we report the potentiometric determination of the log P for SM13, leading to a value of 3.62 ± 0.02, which is in better agreement with most empirical predictions than the experimental value reported in SAMPL6. In addition, further inclusion of several conformations for SM08 significantly improved our results. Inclusion of these refinements led to an overall error of 0.51 (log P units), which supports the reliability of the IEFPCM/MST model for predicting the partitioning of neutral compounds.

Entities:  

Keywords:  Continuum solvation models; MST model; Partition coefficients; SAMPL6; Solvation free energy

Mesh:

Substances:

Year:  2019        PMID: 31776809     DOI: 10.1007/s10822-019-00262-4

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  21 in total

1.  Substructure and whole molecule approaches for calculating log P.

Authors:  R Mannhold; H van de Waterbeemd
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

2.  On the performance of continuum solvation methods. A comment on "Universal approaches to solvation modeling".

Authors:  Andreas Klamt; Benedetta Mennucci; Jacopo Tomasi; Vincenzo Barone; Carles Curutchet; Modesto Orozco; F Javier Luque
Journal:  Acc Chem Res       Date:  2009-04-21       Impact factor: 22.384

3.  Universal solvation model based on solute electron density and on a continuum model of the solvent defined by the bulk dielectric constant and atomic surface tensions.

Authors:  Aleksandr V Marenich; Christopher J Cramer; Donald G Truhlar
Journal:  J Phys Chem B       Date:  2009-05-07       Impact factor: 2.991

Review 4.  Calculation of molecular lipophilicity: State-of-the-art and comparison of log P methods on more than 96,000 compounds.

Authors:  Raimund Mannhold; Gennadiy I Poda; Claude Ostermann; Igor V Tetko
Journal:  J Pharm Sci       Date:  2009-03       Impact factor: 3.534

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

Authors:  Ignacio Soteras; Flavio Forti; Modesto Orozco; F Javier Luque
Journal:  J Phys Chem B       Date:  2009-07-09       Impact factor: 2.991

Review 6.  Lipophilicity in drug design: an overview of lipophilicity descriptors in 3D-QSAR studies.

Authors:  Tiziana Ginex; Javier Vazquez; Enric Gilbert; Enric Herrero; Francisco J Luque
Journal:  Future Med Chem       Date:  2019-02-25       Impact factor: 3.808

7.  Critical comparison of shake-flask, potentiometric and chromatographic methods for lipophilicity evaluation (log Po/w) of neutral, acidic, basic, amphoteric, and zwitterionic drugs.

Authors:  Adriana Port; Magda Bordas; Raquel Enrech; Rosalia Pascual; Martí Rosés; Clara Ràfols; Xavier Subirats; Elisabeth Bosch
Journal:  Eur J Pharm Sci       Date:  2018-07-10       Impact factor: 4.384

8.  Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.

Authors:  Mehtap Işık; Teresa Danielle Bergazin; Thomas Fox; Andrea Rizzi; John D Chodera; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2020-02-27       Impact factor: 3.686

9.  Prediction of pH-Dependent Hydrophobic Profiles of Small Molecules from Miertus-Scrocco-Tomasi Continuum Solvation Calculations.

Authors:  William J Zamora; Carles Curutchet; Josep M Campanera; F Javier Luque
Journal:  J Phys Chem B       Date:  2017-10-13       Impact factor: 2.991

10.  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

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  3 in total

1.  Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.

Authors:  Mehtap Işık; Teresa Danielle Bergazin; Thomas Fox; Andrea Rizzi; John D Chodera; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2020-02-27       Impact factor: 3.686

2.  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

3.  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

  3 in total

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