A graph theoretical analysis of the energy landscape of model polymers

Abstract

In systems characterized by a rough potential energy landscape, local energetic minima and saddles define a network of metastable states whose topology strongly influences the dynamics. Changes in temperature, causing the merging and splitting of metastable states, have non trivial effects on such networks and must be taken into account. We do this by means of a recently proposed renormalization procedure. This method is applied to analyze the topology of the network of metastable states for different polypeptidic sequences in a minimalistic polymer model. A smaller spectral dimension emerges as a hallmark of stability of the global energy minimum and highlights a non-obvious link between dynamic and thermodynamic properties.

15 pages, 15 figures

References in corpus (4)

• Curvature of the energy landscape and folding of model proteins
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Cited by in corpus (1)

• Glass transition and random walks on complex energy landscapes