Literature DB >> 12972264

Folding kinetics of two-state proteins: effect of circularization, permutation, and crosslinks.

Thomas R Weikl1, Ken A Dill.   

Abstract

Protein folding kinetics has recently been probed by clever experiments using circular permutants and other topological mutations. A circular permutant is created from a wild-type protein by covalently linking together the chain ends and cleaving elsewhere in the chain. An interesting puzzle is why circular permutation causes no apparent change in the folding mechanism of CI2, but dramatic changes in the folding mechanisms of S6 and of an SH3 domain, as determined by Phi-value experiments. Here, we use a computational model to predict the folding routes of topological variants, based on a measure (effective contact order) of the chain entropy loss at each folding step. The predictions are consistent with the experiments, leading to insights into the folding routes and into the meaning of Phi-values in general. We find that Phi-values do not always describe time sequences of folding events, or positions along a single reaction coordinate; rather, Phi reflects only the degree of rate control. For example, the circular permutant P(40-41) of CI2 is predicted to reverse the time sequence of the formation of beta(1)beta(4) relative to beta(2)beta(3), without changing the diffuse Phi-value distribution, while the circular permutant P(13-14) of S6 switches the rate-limiting step from the formation of beta(1)beta(4) to beta(1)beta(3), changing the Phi-value distribution from diffuse to strongly polarized. As a test of the model, we propose mutations that should reverse these outcomes.

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Year:  2003        PMID: 12972264     DOI: 10.1016/s0022-2836(03)00884-2

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


  14 in total

1.  Scattered Hammond plots reveal second level of site-specific information in protein folding: phi' (beta++).

Authors:  Linda Hedberg; Mikael Oliveberg
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

2.  Cooperativity in two-state protein folding kinetics.

Authors:  Thomas R Weikl; Matteo Palassini; Ken A Dill
Journal:  Protein Sci       Date:  2004-03       Impact factor: 6.725

3.  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

4.  Protein folding by zipping and assembly.

Authors:  S Banu Ozkan; G Albert Wu; John D Chodera; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-09       Impact factor: 11.205

5.  Communication between RNA folding domains revealed by folding of circularly permuted ribozymes.

Authors:  Richard A Lease; Tadepalli Adilakshmi; Susan Heilman-Miller; Sarah A Woodson
Journal:  J Mol Biol       Date:  2007-07-12       Impact factor: 5.469

6.  Blind test of physics-based prediction of protein structures.

Authors:  M Scott Shell; S Banu Ozkan; Vincent Voelz; Guohong Albert Wu; Ken A Dill
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

7.  Predicting protein folding rates from geometric contact and amino acid sequence.

Authors:  Zheng Ouyang; Jie Liang
Journal:  Protein Sci       Date:  2008-04-23       Impact factor: 6.725

Review 8.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

9.  Prediction of optimal folding routes of proteins that satisfy the principle of lowest entropy loss: dynamic contact maps and optimal control.

Authors:  Yaman Arkun; Burak Erman
Journal:  PLoS One       Date:  2010-10-12       Impact factor: 3.240

10.  Quantifying the structural requirements of the folding transition state of protein A and other systems.

Authors:  Michael C Baxa; Karl F Freed; Tobin R Sosnick
Journal:  J Mol Biol       Date:  2008-07-01       Impact factor: 5.469

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