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GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions

Rational drug design featuring explicit solubility considerations can greatly benefit from molecular dynamics simulations, as they allow for the prediction of the Gibbs free energy of solvation and thus relative solubilities. In our previous work (A. Mecklenfeld, G. Raabe. J. Chem. Theory Comput. 13...

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Autores principales: Mecklenfeld, Andreas, Raabe, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Association of Physical Chemists 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915609/
https://www.ncbi.nlm.nih.gov/pubmed/35300308
http://dx.doi.org/10.5599/admet.837
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author Mecklenfeld, Andreas
Raabe, Gabriele
author_facet Mecklenfeld, Andreas
Raabe, Gabriele
author_sort Mecklenfeld, Andreas
collection PubMed
description Rational drug design featuring explicit solubility considerations can greatly benefit from molecular dynamics simulations, as they allow for the prediction of the Gibbs free energy of solvation and thus relative solubilities. In our previous work (A. Mecklenfeld, G. Raabe. J. Chem. Theory Comput. 13 no. 12 (2017) 6266–6274), we have compared solvation free energy results obtained with the General Amber Force Field (GAFF) and its default restrained electrostatic potential (RESP) partial charges to those obtained by modified implicitly polarized charges (IPolQ-Mod) for an implicit representation of impactful polarization effects. In this work, we have adapted Lennard-Jones parameters for GAFF atom types in combination with IPolQ-Mod to further improve the accuracies of solvation free energy and liquid density predictions. We thereby focus on prominent atom types in common drugs. For the refitting, 357 respectively 384 systems were considered for free energies and densities and validation was performed for 142 free energies and 100 densities of binary mixtures. By the in-depth comparison of simulation results for default GAFF, GAFF with IPolQ-Mod and our new set of parameters, which we label GAFF/IPolQ-Mod+LJ-Fit, we can clearly highlight the improvements of our new model for the description of both relative solubilities and fluid phase behaviour.
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spelling pubmed-89156092022-03-16 GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions Mecklenfeld, Andreas Raabe, Gabriele ADMET DMPK Original Scientific Papers Rational drug design featuring explicit solubility considerations can greatly benefit from molecular dynamics simulations, as they allow for the prediction of the Gibbs free energy of solvation and thus relative solubilities. In our previous work (A. Mecklenfeld, G. Raabe. J. Chem. Theory Comput. 13 no. 12 (2017) 6266–6274), we have compared solvation free energy results obtained with the General Amber Force Field (GAFF) and its default restrained electrostatic potential (RESP) partial charges to those obtained by modified implicitly polarized charges (IPolQ-Mod) for an implicit representation of impactful polarization effects. In this work, we have adapted Lennard-Jones parameters for GAFF atom types in combination with IPolQ-Mod to further improve the accuracies of solvation free energy and liquid density predictions. We thereby focus on prominent atom types in common drugs. For the refitting, 357 respectively 384 systems were considered for free energies and densities and validation was performed for 142 free energies and 100 densities of binary mixtures. By the in-depth comparison of simulation results for default GAFF, GAFF with IPolQ-Mod and our new set of parameters, which we label GAFF/IPolQ-Mod+LJ-Fit, we can clearly highlight the improvements of our new model for the description of both relative solubilities and fluid phase behaviour. International Association of Physical Chemists 2020-06-28 /pmc/articles/PMC8915609/ /pubmed/35300308 http://dx.doi.org/10.5599/admet.837 Text en Copyright © 2020 by the authors. https://creativecommons.org/licenses/by/4.0/This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Original Scientific Papers
Mecklenfeld, Andreas
Raabe, Gabriele
GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title_full GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title_fullStr GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title_full_unstemmed GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title_short GAFF/IPolQ-Mod+LJ-Fit: Optimized force field parameters for solvation free energy predictions
title_sort gaff/ipolq-mod+lj-fit: optimized force field parameters for solvation free energy predictions
topic Original Scientific Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915609/
https://www.ncbi.nlm.nih.gov/pubmed/35300308
http://dx.doi.org/10.5599/admet.837
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