Literature DB >> 16533064

Prediction of folding rates of small proteins: empirical relations based on length, secondary structure content, residue type, and stability.

N Prakash Prabhu1, Abani K Bhuyan.   

Abstract

Delineating the determinants of folding of small proteins is essential for decoding the folding code. By considering the literature data for the folding of 45 two-state proteins that differ widely in sequence, structure, and function, this work suggests two empirical relations for the prediction of the folding rate. One relation is based on the content of secondary structure elements, and the other uses the number of residues of each of the following types: hydrophobic, positively charged, and negatively charged. Both relations incorporate the chain length as an indirect descriptor. The correlation between experimental values for folding rates and free energy is poor, providing little support to the "stability gap" hypothesis based on the folding of simple lattice and off-lattice polymers. The average rate-determining barrier height for these two-state proteins is much larger than the small barriers for the transition-state ensemble envisaged by theoretical models.

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Year:  2006        PMID: 16533064     DOI: 10.1021/bi0521137

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  6 in total

1.  On the role of structural class of a protein with two-state folding kinetics in determining correlations between its size, topology, and folding rate.

Authors:  Andrei Y Istomin; Donald J Jacobs; Dennis R Livesay
Journal:  Protein Sci       Date:  2007-11       Impact factor: 6.725

2.  Coupling between properties of the protein shape and the rate of protein folding.

Authors:  Dmitry N Ivankov; Natalya S Bogatyreva; Michail Yu Lobanov; Oxana V Galzitskaya
Journal:  PLoS One       Date:  2009-08-03       Impact factor: 3.240

3.  Analysis of the differences in the folding mechanisms of c-type lysozymes based on contact maps constructed with interresidue average distances.

Authors:  Shunsuke Nakajima; Takeshi Kikuchi
Journal:  J Mol Model       Date:  2007-03-06       Impact factor: 2.172

4.  Predicting residue-wise contact orders in proteins by support vector regression.

Authors:  Jiangning Song; Kevin Burrage
Journal:  BMC Bioinformatics       Date:  2006-10-03       Impact factor: 3.169

5.  How Quickly Do Proteins Fold and Unfold, and What Structural Parameters Correlate with These Values?

Authors:  Anna V Glyakina; Oxana V Galzitskaya
Journal:  Biomolecules       Date:  2020-01-29

Review 6.  Solution of Levinthal's Paradox and a Physical Theory of Protein Folding Times.

Authors:  Dmitry N Ivankov; Alexei V Finkelstein
Journal:  Biomolecules       Date:  2020-02-06
  6 in total

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