Journal of Computational Chemistry · 2019 · 48 citations · 47 references
Natural SciencesBiophysicsChemistryBiophysical ChemistryComputational BiophysicsComputational ChemistryBinding AffinityBinding ThermodynamicsLigand BindingMolecular DynamicsProtein-ligand BindingProtein-ligand InteractionsBinding Free EnergyFree Energy PerturbationLigand-binding EnergeticsLocal Energy MinimaProtein-ligand Binding Free EnergyProtein-ligand Binding Free Energy CalculationsProtein-ligand Binding ThermodynamicsReplica Exchange
Determination of the ligand‐binding affinity is an extremely interesting problem. Normally, the free energy perturbation (FEP) method provides an appropriate result. However, it is of great interest to improve the accuracy and precision of this method. In this context, temperature replica exchange molecular dynamics implementation of the FEP computational approach, which we call replica exchange free energy perturbation (REP) was proposed. In particular, during REP simulations, the system can easily escape from being trapped in local minima by exchanging configurations with high temperatures, resulting in significant improvement in the accuracy and precision of protein–ligand binding affinity calculations. The distribution of the decoupling free energy was enlarged, and its mean values were decreased. This results in changes in the magnitude of the calculated binding free energies as well as in alteration in the binding mechanism. Moreover, the REP correlation coefficient with respect to experiment ( R REP = 0.85 ± 0.15 ) is significantly boosted in comparison with the FEP one ( R FEP = 0.64 ± 0.30 ). Furthermore, the root‐mean‐square error (RMSE) of REP is also smaller than FEP, RMSE REP = 4.28 ± 0.69 versus RMSE FEP = 5.80 ± 1.11 kcal/mol, respectively. © 2019 Wiley Periodicals, Inc.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations