Exploring the energy landscape of model proteins: A metric criterion for the determination of dynamical connectivity

L Bongini, R Livi, A Politi, A Torcini

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

A method to reconstruct the energy landscape of small peptides is presented with reference to a two-dimensional off-lattice model. The starting point is a statistical analysis of the configurational distances between generic minima and directly connected pairs (DCP). As the mutual distance of DCP is typically much smaller than that of generic pairs, a metric criterion can be established to identify the great majority of DCP. Advantages and limits of this approach are thoroughly analyzed for three different heteropolymeric chains. A funnel-like structure of the energy landscape is found in all of the three cases, but the escape rates clearly reveal that the native configuration is more easily accessible (and is significantly more stable) for the sequence that is expected to behave as a real protein.

Original languageEnglish
Article number051929
Pages (from-to)-
Number of pages8
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Volume72
Issue number5
DOIs
Publication statusPublished - Nov 2005

Keywords

  • OFF-LATTICE MODEL
  • LIQUIDS

Cite this

Exploring the energy landscape of model proteins: A metric criterion for the determination of dynamical connectivity. / Bongini, L ; Livi, R ; Politi, A ; Torcini, A .

In: Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, Vol. 72, No. 5, 051929, 11.2005, p. -.

Research output: Contribution to journalArticle

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