Article
Nucleation-based prediction of the protein folding rate and its correlation with the folding nucleus size
Article first published online: 15 SEP 2012
DOI: 10.1002/prot.24156
Copyright © 2012 Wiley Periodicals, Inc.
Issue

Proteins: Structure, Function, and Bioinformatics
Volume 80, Issue 12, pages 2711–2727, December 2012
Additional Information
How to Cite
Galzitskaya, O. V. and Glyakina, A. V. (2012), Nucleation-based prediction of the protein folding rate and its correlation with the folding nucleus size. Proteins, 80: 2711–2727. doi: 10.1002/prot.24156
Publication History
- Issue published online: 1 NOV 2012
- Article first published online: 15 SEP 2012
- Accepted manuscript online: 3 AUG 2012 04:44AM EST
- Manuscript Accepted: 21 JUL 2012
- Manuscript Revised: 19 JUL 2012
- Manuscript Received: 13 FEB 2012
Funded by
- Russian Foundation for Basic Research. Grant Number: 11-04-00763
- Russian Academy of Sciences (programs "Molecular and Cell Biology". Grant Number: 01200959110
- Russian Academy of Sciences ("Fundamental Sciences to Medicine")
- Abstract
- Article
- References
- Cited By
Keywords:
- dynamic programming;
- two-state and multi-state folders;
- conformational entropy;
- folding rate;
- size of folding nuclei
Abstract
The problem of protein self-organization is in the focus of current molecular biology studies. Although the general principles are understood, many details remain unclear. Specifically, protein folding rates are of interest because they dictate the rate of protein aggregation which underlies many human diseases. Here we offer predictions of protein folding rates and their correlation with folding nucleus sizes. We calculated free energies of the transition state and sizes of folding nuclei for 84 proteins and peptides whose other parameters were measured at the point of thermodynamic equilibrium between their unfolded and native states. We used the dynamic programming method where each residue was considered to be either as folded as in its native state or completely disordered. The calculated and measured folding rates showed a good correlation at the temperature mid-transition point (the correlation coefficient was 0.75). Also, we pioneered in demonstrating a moderate (-0.57) correlation coefficient between the calculated sizes of folding nuclei and the folding rates. Predictions made by different methods were compared. The established good correlation between the estimated free energy barrier and the experimentally found folding rate of each studied protein/peptide indicates that our model gives reliable results for the considered data set. Proteins 2012; © 2012 Wiley Periodicals, Inc.

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