title: A hybrid recursion method to robustly ensure convergence efficiencies in the simulated scaling based free energy simulations.
abstract: Recently, we developed an efficient free energy simulation technique, the simulated scaling (SS) method [H. Li et al., J. Chem. Phys. 126, 024106 (2007)], in the framework of generalized ensemble simulations. In the SS simulations, random walks in the scaling parameter space are realized so that both phase space overlap sampling and conformational space sampling can be simultaneously enhanced. To flatten the distribution in the scaling parameter space, in the original SS implementation, the Wang-Landau recursion was employed due to its well-known recursion capability. In the Wang-Landau recursion based SS free energy simulation scheme, at the early stage, recursion efficiencies are high and free energy regions are quickly located, although at this stage, the errors of estimated free energy values are large; at the later stage, the errors of estimated free energy values become smaller, however, recursions become increasingly slow and free energy refinements require very long simulation time. In order to robustly resolve this efficiency problem during free energy refinements, a hybrid recursion strategy is presented in this paper. Specifically, we let the Wang-Landau update method take care of the early stage recursion: the location of target free energy regions, and let the adaptive reweighting method take care of the late stage recursion: the refinements of free energy values. As comparably studied in the model systems, among three possible recursion procedures, the adaptive reweighting recursion approach is the least favorable one because of its low recursion efficiency during free energy region locations; and compared to the original Wang-Landau recursion approach, the proposed hybrid recursion technique can be more robust to guarantee free energy simulation efficiencies.
authors.affiliation: Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida 32306, USA.
authors.forename: Lianqing
authors.initials: L
authors.lastname: Zheng
authors.forename: Irina O
authors.initials: IO
authors.lastname: Carbone
authors.forename: Alexey
authors.initials: A
authors.lastname: Lugovskoy
authors.forename: Bernd A
authors.initials: BA
authors.lastname: Berg
authors.forename: Wei
authors.initials: W
authors.lastname: Yang
mesh_terms: D003198:Computer Simulation; D008958:Models, Molecular; D011487:Protein Conformation; D013816:Thermodynamics; D013997:Time Factors