Literature DB >> 27577746

Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Gerhard König1,2, Frank C Pickard3, Jing Huang3, Andrew C Simmonett3, Florentina Tofoleanu3, Juyong Lee3, Pavlo O Dral4, Samarjeet Prasad3, Michael Jones3, Yihan Shao3, Walter Thiel4, Bernard R Brooks3.   

Abstract

One of the central aspects of biomolecular recognition is the hydrophobic effect, which is experimentally evaluated by measuring the distribution coefficients of compounds between polar and apolar phases. We use our predictions of the distribution coefficients between water and cyclohexane from the SAMPL5 challenge to estimate the hydrophobicity of different explicit solvent simulation techniques. Based on molecular dynamics trajectories with the CHARMM General Force Field, we compare pure molecular mechanics (MM) with quantum-mechanical (QM) calculations based on QM/MM schemes that treat the solvent at the MM level. We perform QM/MM with both density functional theory (BLYP) and semi-empirical methods (OM1, OM2, OM3, PM3). The calculations also serve to test the sensitivity of partition coefficients to solute polarizability as well as the interplay of the quantum-mechanical region with the fixed-charge molecular mechanics environment. Our results indicate that QM/MM with both BLYP and OM2 outperforms pure MM. However, this observation is limited to a subset of cases where convergence of the free energy can be achieved.

Entities:  

Keywords:  Cyclohexane; Distribution coefficient; Explicit solvent; Multi-scale free energy simulations; Partition coefficient; Water

Mesh:

Substances:

Year:  2016        PMID: 27577746     DOI: 10.1007/s10822-016-9936-x

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


  84 in total

1.  Calculation of the water-cyclohexane transfer free energies of neutral amino acid side-chain analogs using the OPLS all-atom force field.

Authors:  Justin L MacCallum; D Peter Tieleman
Journal:  J Comput Chem       Date:  2003-11-30       Impact factor: 3.376

2.  The SAMPL2 blind prediction challenge: introduction and overview.

Authors:  Matthew T Geballe; A Geoffrey Skillman; Anthony Nicholls; J Peter Guthrie; Peter J Taylor
Journal:  J Comput Aided Mol Des       Date:  2010-05-09       Impact factor: 3.686

3.  Binding affinities by alchemical perturbation using QM/MM with a large QM system and polarizable MM model.

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Journal:  J Comput Chem       Date:  2015-08-17       Impact factor: 3.376

Review 4.  Advances in methods and algorithms in a modern quantum chemistry program package.

Authors:  Yihan Shao; Laszlo Fusti Molnar; Yousung Jung; Jörg Kussmann; Christian Ochsenfeld; Shawn T Brown; Andrew T B Gilbert; Lyudmila V Slipchenko; Sergey V Levchenko; Darragh P O'Neill; Robert A DiStasio; Rohini C Lochan; Tao Wang; Gregory J O Beran; Nicholas A Besley; John M Herbert; Ching Yeh Lin; Troy Van Voorhis; Siu Hung Chien; Alex Sodt; Ryan P Steele; Vitaly A Rassolov; Paul E Maslen; Prakashan P Korambath; Ross D Adamson; Brian Austin; Jon Baker; Edward F C Byrd; Holger Dachsel; Robert J Doerksen; Andreas Dreuw; Barry D Dunietz; Anthony D Dutoi; Thomas R Furlani; Steven R Gwaltney; Andreas Heyden; So Hirata; Chao-Ping Hsu; Gary Kedziora; Rustam Z Khalliulin; Phil Klunzinger; Aaron M Lee; Michael S Lee; Wanzhen Liang; Itay Lotan; Nikhil Nair; Baron Peters; Emil I Proynov; Piotr A Pieniazek; Young Min Rhee; Jim Ritchie; Edina Rosta; C David Sherrill; Andrew C Simmonett; Joseph E Subotnik; H Lee Woodcock; Weimin Zhang; Alexis T Bell; Arup K Chakraborty; Daniel M Chipman; Frerich J Keil; Arieh Warshel; Warren J Hehre; Henry F Schaefer; Jing Kong; Anna I Krylov; Peter M W Gill; Martin Head-Gordon
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5.  Unorthodox uses of Bennett's acceptance ratio method.

Authors:  Gerhard König; Stefan Bruckner; Stefan Boresch
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Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

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Authors:  Melanie Kah; Colin D Brown
Journal:  Chemosphere       Date:  2008-06-18       Impact factor: 7.086

8.  Effect of the damping function in dispersion corrected density functional theory.

Authors:  Stefan Grimme; Stephan Ehrlich; Lars Goerigk
Journal:  J Comput Chem       Date:  2011-03-01       Impact factor: 3.376

9.  Paradynamics: an effective and reliable model for ab initio QM/MM free-energy calculations and related tasks.

Authors:  Nikolay V Plotnikov; Shina C L Kamerlin; Arieh Warshel
Journal:  J Phys Chem B       Date:  2011-05-27       Impact factor: 2.991

10.  Thermodynamic integration to predict host-guest binding affinities.

Authors:  Morgan Lawrenz; Jeff Wereszczynski; Juan Manuel Ortiz-Sánchez; Sara E Nichols; J Andrew McCammon
Journal:  J Comput Aided Mol Des       Date:  2012-02-16       Impact factor: 3.686

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  15 in total

Review 1.  Molecular Dynamics Simulations of Membrane Permeability.

Authors:  Richard M Venable; Andreas Krämer; Richard W Pastor
Journal:  Chem Rev       Date:  2019-02-12       Impact factor: 60.622

2.  Blind prediction of distribution in the SAMPL5 challenge with QM based protomer and pK a corrections.

Authors:  Frank C Pickard; Gerhard König; Florentina Tofoleanu; Juyong Lee; Andrew C Simmonett; Yihan Shao; Jay W Ponder; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-19       Impact factor: 3.686

3.  On the faithfulness of molecular mechanics representations of proteins towards quantum-mechanical energy surfaces.

Authors:  Gerhard König; Sereina Riniker
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

4.  Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields.

Authors:  Ye Ding; You Xu; Cheng Qian; Jinfeng Chen; Jian Zhu; Houhou Huang; Yi Shi; Jing Huang
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

5.  Quantum mechanical force fields for condensed phase molecular simulations.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Phys Condens Matter       Date:  2017-08-17       Impact factor: 2.333

6.  Blind prediction of cyclohexane-water distribution coefficients from the SAMPL5 challenge.

Authors:  Caitlin C Bannan; Kalistyn H Burley; Michael Chiu; Michael R Shirts; Michael K Gilson; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2016-09-27       Impact factor: 3.686

7.  Use of Interaction Energies in QM/MM Free Energy Simulations.

Authors:  Phillip S Hudson; H Lee Woodcock; Stefan Boresch
Journal:  J Chem Theory Comput       Date:  2019-07-02       Impact factor: 6.006

8.  SAMPL7 blind challenge: quantum-mechanical prediction of partition coefficients and acid dissociation constants for small drug-like molecules.

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Journal:  J Comput Aided Mol Des       Date:  2021-06-24       Impact factor: 3.686

9.  A deep learning approach for the blind logP prediction in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

10.  Quantum chemical predictions of water-octanol partition coefficients applied to the SAMPL6 logP blind challenge.

Authors:  Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

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