Literature DB >> 20372973

Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.

Pavel V Klimovich1, David L Mobley.   

Abstract

Molecular dynamics simulations in explicit solvent were applied to predict the hydration free energies for 23 small organic molecules in blind SAMPL2 test. We found good agreement with experimental results, with an RMS error of 2.82 kcal/mol over the whole set and 1.86 kcal/mol over all the molecules except several hydroxyl-rich compounds where we find evidence for a systematic error in the force field. We tested two different solvent models, TIP3P and TIP4P-Ew, and obtained very similar hydration free energies for these two models; the RMS difference was 0.64 kcal/mol. We found that preferred conformation of the carboxylic acids in water differs from that in vacuum. Surprisingly, this conformational change is not adequately sampled on simulation timescales, so we apply an umbrella sampling technique to include free energies associated with the conformational change. Overall, the results of this test reveal that the force field parameters for some groups of molecules (such as hydroxyl-rich compounds) still need to be improved, but for most compounds, accuracy was consistent with that seen in our previous tests.

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Year:  2010        PMID: 20372973     DOI: 10.1007/s10822-010-9343-7

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


  31 in total

1.  Prediction of n-octanol/water partition coefficients from PHYSPROP database using artificial neural networks and E-state indices.

Authors:  I V Tetko; V Y Tanchuk; A E Villa
Journal:  J Chem Inf Comput Sci       Date:  2001 Sep-Oct

2.  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

3.  Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation.

Authors:  Araz Jakalian; David B Jack; Christopher I Bayly
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

4.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

5.  Nonlinear scaling schemes for Lennard-Jones interactions in free energy calculations.

Authors:  Thomas Steinbrecher; David L Mobley; David A Case
Journal:  J Chem Phys       Date:  2007-12-07       Impact factor: 3.488

6.  Accurate and efficient corrections for missing dispersion interactions in molecular simulations.

Authors:  Michael R Shirts; David L Mobley; John D Chodera; Vijay S Pande
Journal:  J Phys Chem B       Date:  2007-10-19       Impact factor: 2.991

7.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

8.  Treating entropy and conformational changes in implicit solvent simulations of small molecules.

Authors:  David L Mobley; Ken A Dill; John D Chodera
Journal:  J Phys Chem B       Date:  2008-01-03       Impact factor: 2.991

9.  Solubility challenge: can you predict solubilities of 32 molecules using a database of 100 reliable measurements?

Authors:  Antonio Llinàs; Robert C Glen; Jonathan M Goodman
Journal:  J Chem Inf Model       Date:  2008-07-15       Impact factor: 4.956

10.  A blind challenge for computational solvation free energies: introduction and overview.

Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

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  47 in total

1.  Let's get honest about sampling.

Authors:  David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2011-11-24       Impact factor: 3.686

2.  Predicting hydration free energies of polychlorinated aromatic compounds from the SAMPL-3 data set with FiSH and LIE models.

Authors:  Traian Sulea; Enrico O Purisima
Journal:  J Comput Aided Mol Des       Date:  2011-12-22       Impact factor: 3.686

3.  Prediction of hydration free energies for aliphatic and aromatic chloro derivatives using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

4.  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

5.  Dependency of ligand free energy landscapes on charge parameters and solvent models.

Authors:  Yuko Okamoto; Toshimasa Tanaka; Hironori Kokubo
Journal:  J Comput Aided Mol Des       Date:  2010-05-22       Impact factor: 3.686

6.  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

7.  Lead optimization mapper: automating free energy calculations for lead optimization.

Authors:  Shuai Liu; Yujie Wu; Teng Lin; Robert Abel; Jonathan P Redmann; Christopher M Summa; Vivian R Jaber; Nathan M Lim; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2013-09-26       Impact factor: 3.686

8.  Origin of parameter degeneracy and molecular shape relationships in geometric-flow calculations of solvation free energies.

Authors:  Michael D Daily; Jaehun Chun; Alejandro Heredia-Langner; Guowei Wei; Nathan A Baker
Journal:  J Chem Phys       Date:  2013-11-28       Impact factor: 3.488

9.  An efficient protocol for obtaining accurate hydration free energies using quantum chemistry and reweighting from molecular dynamics simulations.

Authors:  Frank C Pickard; Gerhard König; Andrew C Simmonett; Yihan Shao; Bernard R Brooks
Journal:  Bioorg Med Chem       Date:  2016-08-22       Impact factor: 3.641

10.  Escaping Atom Types in Force Fields Using Direct Chemical Perception.

Authors:  David L Mobley; Caitlin C Bannan; Andrea Rizzi; Christopher I Bayly; John D Chodera; Victoria T Lim; Nathan M Lim; Kyle A Beauchamp; David R Slochower; Michael R Shirts; Michael K Gilson; Peter K Eastman
Journal:  J Chem Theory Comput       Date:  2018-10-30       Impact factor: 6.006

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