A study of density of states and ground states in hydrophobic-hydrophilic protein folding models by equi-energy sampling
Author(s) -
S. C. Kou,
Jason Oh,
Wing Hung Wong
Publication year - 2006
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.2208607
Subject(s) - maxima and minima , protein folding , energy landscape , lattice protein , statistical physics , folding (dsp implementation) , sampling (signal processing) , benchmark (surveying) , lattice (music) , physics , chemistry , computer science , chemical physics , thermodynamics , mathematics , engineering , geology , mathematical analysis , optics , geodesy , detector , acoustics , electrical engineering , nuclear magnetic resonance
We propose an equi-energy EE sampling approach to study protein folding in the two-dimensional hydrophobic-hydrophilic HP lattice model. This approach enables efficient exploration of the global energy landscape and provides accurate estimates of the density of states, which then allows us to conduct a detailed study of the thermodynamics of HP protein folding, in particular, on the temperature dependence of the transition from folding to unfolding and on how sequence composition affects this phenomenon. With no extra cost, this approach also provides estimates on global energy minima and ground states. Without using any prior structural information of the protein the EE sampler is able to find the ground states that match the best known results in most benchmark cases. The numerical results demonstrate it as a powerful method to study lattice protein folding models. © 2006 American Institute of Physics. DOI: 10.1063/1.2208607
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