Physics – Condensed Matter – Statistical Mechanics
Scientific paper
1997-10-02
Proteins: Structure, Function, and Genetics Vol. 32 (1998) 52--66
Physics
Condensed Matter
Statistical Mechanics
13 pages, RevTeX, needs epsfig.sty and multicolum.sty
Scientific paper
We demonstrate that the recently proposed pruned-enriched Rosenbluth method PERM (P. Grassberger, Phys. Rev. E, in press (1997)) leads to extremely efficient algorithms for the folding of simple model proteins. We test it on several models for lattice heteropolymers, and compare to published Monte Carlo studies of the properties of particular sequences. In all cases our method is faster than the previous ones, and in several cases we find new minimal energy states. In addition to producing more reliable candidates for ground states, our method gives detailed information about the thermal spectrum and, thus, allows to analyze static aspects of the folding behavior of arbitrary sequences.
Bastolla Ugo
Frauenkron Helge
Gerstner Erwin
Grassberger Peter
Nadler Walter
No associations
LandOfFree
Testing a new Monte Carlo Algorithm for Protein Folding does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Testing a new Monte Carlo Algorithm for Protein Folding, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Testing a new Monte Carlo Algorithm for Protein Folding will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-92293