Comparison of the Parallel Tempering Algorithm and Multicanonical Method as Applied to Coarse-Grained Off-lattice Models for Folding Heteropolymers

Arkin H.

JOURNAL OF STATISTICAL PHYSICS, cilt.139, sa.2, ss.326-332, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 139 Sayı: 2
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1007/s10955-010-9942-7
  • Dergi Adı: JOURNAL OF STATISTICAL PHYSICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.326-332
  • Anahtar Kelimeler: Off-lattice protein models, Conformational Sampling, Parallel Tempering, MONTE-CARLO-SIMULATION, TOY MODEL, PROTEINS, THERMODYNAMICS, TEMPERATURES, PEPTIDE
  • Ankara Üniversitesi Adresli: Evet

Özet

We have performed Parallel Tempering simulations of hydrophobic-hydrophilic heteropolymers with a simple effective, coarse-grained off-lattice model with the selected monomers and compare the global energy minimums found with Parallel Tempering algorithm with the lowest energy states identified within the multicanonical algorithm.