Physics – Condensed Matter – Soft Condensed Matter
Scientific paper
2005-08-03
Physics
Condensed Matter
Soft Condensed Matter
14 pages, 14 figures
Scientific paper
10.1103/PhysRevE.74.051801
Compact polymers are self-avoiding random walks which visit every site on a lattice. This polymer model is used widely for studying statistical problems inspired by protein folding. One difficulty with using compact polymers to perform numerical calculations is generating a sufficiently large number of randomly sampled configurations. We present a Monte-Carlo algorithm which uniformly samples compact polymer configurations in an efficient manner allowing investigations of chains much longer than previously studied. Chain configurations generated by the algorithm are used to compute statistics of secondary structures in compact polymers. We determine the fraction of monomers participating in secondary structures, and show that it is self averaging in the long chain limit and strictly less than one. Comparison with results for lattice models of open polymer chains shows that compact chains are significantly more likely to form secondary structure.
Ferguson Allison
Jacobsen Jesper L.
Kondev Jané
Oberdorf Richard
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