Literature DB >> 34495430

Predicting octanol/water partition coefficients using molecular simulation for the SAMPL7 challenge: comparing the use of neat and water saturated 1-octanol.

Spencer J Sabatino1, Andrew S Paluch2.   

Abstract

Blind predictions of octanol/water partition coefficients at 298.15 K for 22 drug-like compounds were made for the SAMPL7 challenge. The octanol/water partition coefficients were predicted using solvation free energies computed using molecular dynamics simulations, wherein we considered the use of both pure and water-saturated 1-octanol to model the octanol-rich phase. Water and 1-octanol were modeled using TIP4P and TrAPPE-UA, respectively, which have been shown to well reproduce the experimental mutual solubility, and the solutes were modeled using GAFF. After the close of the SAMPL7 challenge, we additionally made predictions using TIP4P/2005 water. We found that the predictions were sensitive to the choice of water force field. However, the effect of water in the octanol-rich phase was found to be even more significant and non-negligible. The effect of inclusion of water was additionally sensitive to the chemical structure of the solute.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Partition coefficient; SAMPL7; Solvation free energy; log P

Mesh:

Substances:

Year:  2021        PMID: 34495430     DOI: 10.1007/s10822-021-00415-4

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


  32 in total

1.  Direct calculation of 1-octanol-water partition coefficients from adaptive biasing force molecular dynamics simulations.

Authors:  Navendu Bhatnagar; Ganesh Kamath; Issac Chelst; Jeffrey J Potoff
Journal:  J Chem Phys       Date:  2012-07-07       Impact factor: 3.488

2.  Calculating Partition Coefficients of Small Molecules in Octanol/Water and Cyclohexane/Water.

Authors:  Caitlin C Bannan; Gaetano Calabró; Daisy Y Kyu; David L Mobley
Journal:  J Chem Theory Comput       Date:  2016-08-01       Impact factor: 6.006

3.  Comparison of two simulation methods to compute solvation free energies and partition coefficients.

Authors:  Li Yang; Alauddin Ahmed; Stanley I Sandler
Journal:  J Comput Chem       Date:  2012-10-29       Impact factor: 3.376

4.  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

5.  Predicting octanol/water partition coefficients for the SAMPL6 challenge using the SM12, SM8, and SMD solvation models.

Authors:  Jonathan A Ouimet; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

6.  1-Octanol/Water Partition Coefficients of n-Alkanes from Molecular Simulations of Absolute Solvation Free Energies.

Authors:  Nuno M Garrido; António J Queimada; Miguel Jorge; Eugénia A Macedo; Ioannis G Economou
Journal:  J Chem Theory Comput       Date:  2009-09-08       Impact factor: 6.006

7.  Prediction of 1-octanol-water and air-water partition coefficients for nitro-aromatic compounds from molecular dynamics simulations.

Authors:  Navendu Bhatnagar; Ganesh Kamath; Jeffrey J Potoff
Journal:  Phys Chem Chem Phys       Date:  2013-05-07       Impact factor: 3.676

8.  Microscopic structure and solvation in dry and wet octanol.

Authors:  Bin Chen; J Ilja Siepmann
Journal:  J Phys Chem B       Date:  2006-03-02       Impact factor: 2.991

9.  Force Field Benchmark of Amino Acids. 2. Partition Coefficients between Water and Organic Solvents.

Authors:  Haiyang Zhang; Yang Jiang; Ziheng Cui; Chunhua Yin
Journal:  J Chem Inf Model       Date:  2018-08-10       Impact factor: 4.956

10.  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

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