期刊
PHYSICAL REVIEW E
卷 81, 期 5, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.81.051907
关键词
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资金
- NSF [CBET-0348175, DMS-0835742, DMR-0448838, CNS-0821132]
- Yale's Institute for Nanoscience and Quantum Engineering
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [821132] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [0835742] Funding Source: National Science Foundation
We perform simulations of model proteins to study folding on rugged energy landscapes. We construct first-passage networks as the system transitions from unfolded to native states. The nodes and bonds in these networks correspond to basins and transitions between them in the energy landscape. We find power-law relations between the folding time and the number of nodes and bonds. We show that these scalings are determined by the fractal properties of first-passage networks. Thus, we have identified a possible mechanism-the small fractal dimension of first passage networks-which can give rise to reliable folding in proteins with rugged energy landscapes.
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