Literature DB >> 22865614

Nucleation-based prediction of the protein folding rate and its correlation with the folding nucleus size.

Oxana V Galzitskaya1, Anna V Glyakina.   

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.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22865614     DOI: 10.1002/prot.24156

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  3 in total

1.  Contribution to the prediction of the fold code: application to immunoglobulin and flavodoxin cases.

Authors:  Mateusz Banach; Nicolas Prudhomme; Mathilde Carpentier; Elodie Duprat; Nikolaos Papandreou; Barbara Kalinowska; Jacques Chomilier; Irena Roterman
Journal:  PLoS One       Date:  2015-04-27       Impact factor: 3.240

2.  Quantifying the Sources of Kinetic Frustration in Folding Simulations of Small Proteins.

Authors:  Andrej J Savol; Chakra S Chennubhotla
Journal:  J Chem Theory Comput       Date:  2014-06-13       Impact factor: 6.006

Review 3.  The Molten Globule, and Two-State vs. Non-Two-State Folding of Globular Proteins.

Authors:  Kunihiro Kuwajima
Journal:  Biomolecules       Date:  2020-03-06
  3 in total

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