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

ADMET DMPK

Institut für Thermodynamik, Technische Universität Braunschweig, Hans-Sommer Strasse 5, 38106 Braunschweig, Germany.

Published: June 2020

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. 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915609PMC
http://dx.doi.org/10.5599/admet.837DOI Listing

Publication Analysis

Top Keywords

free energy
16
solvation free
12
force field
8
relative solubilities
8
atom types
8
free energies
8
free
6
gaff/ipolq-mod+lj-fit optimized
4
optimized force
4
field parameters
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!