title: Comparison of end-point continuum-solvation methods for the calculation of protein-ligand binding free energies.
abstract: We have compared the predictions of ligand-binding affinities from several methods based on end-point molecular dynamics simulations and continuum solvation, that is, methods related to MM/PBSA (molecular mechanics combined with Poisson-Boltzmann and surface area solvation). Two continuum-solvation models were considered, viz., the Poisson-Boltzmann (PB) and generalised Born (GB) approaches. The nonelectrostatic energies were also obtained in two different ways, viz., either from the sum of the bonded, van der Waals, nonpolar solvation energies, and entropy terms (as in MM/PBSA), or from the scaled protein-ligand van der Waals interaction energy (as in the linear interaction energy approach, LIE). Three different approaches to calculate electrostatic energies were tested, viz., the sum of electrostatic interaction energies and polar solvation energies, obtained either from a single simulation of the complex or from three independent simulations of the complex, the free protein, and the free ligand, or the linear-response approximation (LRA). Moreover, we investigated the effect of scaling the electrostatic interactions by an effective internal dielectric constant of the protein (ϵ(int) ). All these methods were tested on the binding of seven biotin analogues to avidin and nine 3-amidinobenzyl-1H-indole-2-carboxamide inhibitors to factor Xa. For avidin, the best results were obtained with a combination of the LIE nonelectrostatic energies with the MM+GB electrostatic energies from a single simulation, using ϵ(int) = 4. For fXa, standard MM/GBSA, based on one simulation and using ϵ(int) = 4-10 gave the best result. The optimum internal dielectric constant seems to be slightly higher with PB than with GB solvation.
authors.affiliation: Department of Theoretical Chemistry, Lund University, Chemical Centre, SE-221 00 Lund, Sweden.
authors.forename: Samuel
authors.initials: S
authors.lastname: Genheden
authors.forename: Ulf
authors.initials: U
authors.lastname: Ryde
mesh_terms: D001360:Avidin / Q000737:chemistry / Q000378:metabolism; D001710:Biotin / Q000737:chemistry / Q000378:metabolism; D008024:Ligands; D056004:Molecular Dynamics Simulation; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D055672:Static Electricity; D013816:Thermodynamics
chemical_list: D008024:Ligands; D011506:Proteins; D001360:Avidin; D001710:Biotin