Squeezed Exponential Kinetics to Describe a Nonglassy Downhill Folding as Observed in a Lattice Protein Model

18Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We previously studied the so-called strange kinetics in the two-dimensional lattice HP model. To further study the strange kinetics, folding processes of a 27-mer cubic lattice protein model with Gō potential were investigated by simulating how the bundle of folding trajectories, consisting of a number of independent Monte Carlo simulations, evolves as the folding reaction proceeds, covering a wide range of temperature. Three realms of folding kinetics were observed depending on temperature. Although at temperatures where folding was two-state-like, the kinetics was conventional single exponential, we found that the time course data were well represented by a squeezed (or "shrunken") exponential function, exp [-(t/τ)β] with > 1, temperatures lower than the folding temperature, where folding was fastest and of a nonglassy downhill type. The squeezed exponential kinetics was found to pertain to the subdiffusion on the non-glassy downhill free energy surface and presents a marked contrast both to the single exponential kinetics and to the stretched exponential kinetics that was observed at lower temperatures where folding was also downhill but topological frustration came into effect. The observed temperature dependence of the folding kinetics suggests that some small single-domain proteins may follow the squeezed exponential kinetics at about the room temperature. © 2004 Wiley-Liss, Inc.

Cite

CITATION STYLE

APA

Nakamura, H. K., Sasai, M., & Takano, M. (2004). Squeezed Exponential Kinetics to Describe a Nonglassy Downhill Folding as Observed in a Lattice Protein Model. Proteins: Structure, Function and Genetics, 55(1), 99–106. https://doi.org/10.1002/prot.10583

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free