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Rapid boundary element solvation electrostatics calculations in folding simulations: Successful folding of a 23‐residue peptide
Author(s) -
Totrov Maxim,
Abagyan Ruben
Publication year - 2001
Publication title -
peptide science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/1097-0282(2001)60:2<124::aid-bip1008>3.0.co;2-s
Subject(s) - solvation , chemistry , implicit solvation , electrostatics , monte carlo method , molecular dynamics , folding (dsp implementation) , dielectric , statistical physics , computational chemistry , physics , quantum mechanics , molecule , statistics , mathematics , organic chemistry , electrical engineering , engineering
Solvation effects play a profound role in the energetics of protein folding. While a continuum dielectric model of solvation may provide a sufficiently accurate estimate of the solvation effects, until now this model was too computationally expensive and unstable for folding simulations. Here we proposed a fast yet accurate and robust implementation of the boundary element solution of the Poisson equation, the REBEL algorithm. Using our earlier double‐energy scheme, we included for the first time the mathematically rigorous continuous REBEL solvation term in our Biased Probability Monte Carlo (BPMC) simulations of the peptide folding. The free energy of a 23‐residue ββα‐peptide was then globally optimized with and without the solvation electrostatics contribution. An ensemble of ββα conformations was found at and near the global minimum of the energy function with the REBEL electrostatic solvation term. Much poorer correspondence to the native solution structure was found in the “control” simulations with a traditional method to account for solvation via a distance‐dependent dielectric constant. Each simulation took less than 40 h (21 h without electrostatic solvation calculation) on a single Alpha 677 MHz CPU and involved more than 40,000 solvation energy evaluations. This work demonstrates for the first time that such a simulation can be performed in a realistic time frame. The proposed procedure may eliminate the energy evaluation accuracy bottleneck in folding simulations. © 2001 John Wiley & Sons, Inc. Biopolymers (Pept Sci) 60: 124–133, 2001