title: Secondary structure bias in generalized Born solvent models: comparison of conformational ensembles and free energy of solvent polarization from explicit and implicit solvation.
abstract: The effects of the use of three generalized Born (GB) implicit solvent models on the thermodynamics of a simple polyalanine peptide are studied via comparing several hundred nanoseconds of well-converged replica exchange molecular dynamics (REMD) simulations using explicit TIP3P solvent to REMD simulations with the GB solvent models. It is found that when compared to REMD simulations using TIP3P the GB REMD simulations contain significant differences in secondary structure populations, most notably an overabundance of alpha-helical secondary structure. This discrepancy is explored via comparison of the differences in the electrostatic component of the free energy of solvation (DeltaDeltaG(pol)) between TIP3P (via thermodynamic Integration calculations), the GB models, and an implicit solvent model based on the Poisson equation (PE). The electrostatic components of the solvation free energies are calculated using each solvent model for four representative conformations of Ala10. Since the PE model is found to have the best performance with respect to reproducing TIP3P DeltaDeltaG(pol) values, effective Born radii from the GB models are compared to effective Born radii calculated with PE (so-called perfect radii), and significant and numerous deviations in GB radii from perfect radii are found in all GB models. The effect of these deviations on the solvation free energy is discussed, and it is shown that even when perfect radii are used the agreement of GB with TIP3P DeltaDeltaG(pol) values does not improve. This suggests a limit to the optimization of the effective Born radius calculation and that future efforts to improve the accuracy of GB models must extend beyond such optimizations.
authors.affiliation: Department of Chemistry, Graduate Program in Biochemistry and Structural Biology, and Center for Structural Biology, Stony Brook University, Stony Brook, New York 11794-3400, USA.
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Roe
authors.forename: Asim
authors.initials: A
authors.lastname: Okur
authors.forename: Lauren
authors.initials: L
authors.lastname: Wickstrom
authors.forename: Viktor
authors.initials: V
authors.lastname: Hornak
authors.forename: Carlos
authors.initials: C
authors.lastname: Simmerling
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008956:Models, Chemical; D010455:Peptides / Q000737:chemistry*; D017433:Protein Structure, Secondary; D012997:Solvents / Q000737:chemistry*; D055672:Static Electricity; D013816:Thermodynamics
chemical_list: D010455:Peptides; D012997:Solvents; C019529:polyalanine