Chemistry
Evaluation of configurational entropy methods from peptide folding-unfolding simulation
Document Type
Article
Abstract
A 4-μs molecular dynamics simulation of the second β-hairpin of the B1 domain of streptococcal protein G is used to characterize the free energy surface and to evaluate different configurational entropy estimators. From the equilibrium folding-unfolding trajectory, 200 000 conformers are clustered according to their root-mean-square deviation (RMSD). The height of the free energy barrier between pairs of clusters is found to be significantly correlated with their pairwise RMSD. Relative free energies and relative configurational entropies of the clusters are determined by explicit evaluation of the partition functions of the different clusters. These entropies are used to evaluate different entropy estimators for the largest 20 clusters as well as a subensemble comprising exclusively extended conformers. It is found that the quasi-harmonic entropy estimator operating in dihedral angle space performs better than the one using Cartesian coordinates. A recent generalization of the quasi-harmonic approach that, computes Shannon entropies of probability distributions obtained by projecting the conformers along the eigenvectors of the covariance matrix performs similarly well. For the best entropy estimators, a linear correlation coefficient between 0.92 and 0.97 is found. Unexpectedly, when correlations between dihedral angles are neglected, the agreement with the reference entropies improved. © 2007 American Chemical Society.
Publication Title
Journal of Physical Chemistry B
Publication Date
12-13-2007
Volume
111
Issue
49
First Page
13807
Last Page
13813
ISSN
1520-6106
DOI
10.1021/jp075220e
Keywords
computer simulation, free energy, function evaluation, peptides
Repository Citation
Li, Da Wei; Khanlarzadeh, Mina; Wang, Jinbu; Huo, Shuanghong; and Brüschweiler, Rafael, "Evaluation of configurational entropy methods from peptide folding-unfolding simulation" (2007). Chemistry. 103.
https://commons.clarku.edu/chemistry/103
Cross Post Location
Student Publications