Literature DB >> 14643667

Origin of unusual phi-values in protein folding: evidence against specific nucleation sites.

Ignacio E Sánchez1, Thomas Kiefhaber.   

Abstract

phi(f)-value analysis is one of the most common methods to characterize the structure of protein folding transition states. It compares the effects of mutations on the folding kinetics with the respective effects on equilibrium stability. The interpretation of the results usually focuses on a few unusual phi(f)-values, which are either particularly high or which are larger than 1 or smaller than 0. These mutations are believed to affect the most important regions for the folding process. A major uncertainty in experimental phi(f)-values is introduced by the commonly used analysis of only a single mutant at various positions in a protein (two-point analysis). To test the reliability of two-point phi(f)-values we used reference data from three positions in two different proteins at which multiple mutations have been introduced. The results show that two-point phi(f)-values are highly inaccurate if the difference in stability between two variants is less than 7 kJ/mol, corresponding to a 20-fold difference in equilibrium constant. Comparison with reported phi(f)-values for 11 proteins shows that most unusual phi(f)-values are observed in mutants which show changes in protein stability that are too small to allow a reliable analysis. The results argue against specific nucleation sites in protein folding and give a picture of transition states as distorted native states for the major part of a protein or for large substructures.

Mesh:

Year:  2003        PMID: 14643667     DOI: 10.1016/j.jmb.2003.10.016

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  59 in total

1.  Phi-value analysis and the nature of protein-folding transition states.

Authors:  Alan R Fersht; Satoshi Sato
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-18       Impact factor: 11.205

2.  Relationship of Leffler (Bronsted) alpha values and protein folding Phi values to position of transition-state structures on reaction coordinates.

Authors:  Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-21       Impact factor: 11.205

3.  Insights into protein folding mechanisms from large scale analysis of mutational effects.

Authors:  Athi N Naganathan; Victor Muñoz
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-23       Impact factor: 11.205

4.  Differences in the folding transition state of ubiquitin indicated by phi and psi analyses.

Authors:  Tobin R Sosnick; Robin S Dothager; Bryan A Krantz
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-02       Impact factor: 11.205

5.  Role of structural determinants in folding of the sandwich-like protein Pseudomonas aeruginosa azurin.

Authors:  Corey J Wilson; Pernilla Wittung-Stafshede
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-07       Impact factor: 11.205

6.  Phi values in protein-folding kinetics have energetic and structural components.

Authors:  Claudia Merlo; Ken A Dill; Thomas R Weikl
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-11       Impact factor: 11.205

7.  A critical assessment of the topomer search model of protein folding using a continuum explicit-chain model with extensive conformational sampling.

Authors:  Stefan Wallin; Hue Sun Chan
Journal:  Protein Sci       Date:  2005-06       Impact factor: 6.725

8.  Phi-value analysis by molecular dynamics simulations of reversible folding.

Authors:  Giovanni Settanni; Francesco Rao; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

9.  Identification of the minimal protein-folding nucleus through loop-entropy perturbations.

Authors:  Magnus O Lindberg; Ellinor Haglund; Isaac A Hubner; Eugene I Shakhnovich; Mikael Oliveberg
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-27       Impact factor: 11.205

10.  Structural comparison of the two alternative transition states for folding of TI I27.

Authors:  Christian D Geierhaas; Robert B Best; Emanuele Paci; Michele Vendruscolo; Jane Clarke
Journal:  Biophys J       Date:  2006-04-07       Impact factor: 4.033

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