Literature DB >> 16120445

Transition state contact orders correlate with protein folding rates.

Emanuele Paci1, Kresten Lindorff-Larsen, Christopher M Dobson, Martin Karplus, Michele Vendruscolo.   

Abstract

We have used molecular dynamics simulations restrained by experimental phi values derived from protein engineering experiments to determine the structures of the transition state ensembles of ten proteins that fold with two-state kinetics. For each of these proteins we then calculated the average contact order in the transition state ensemble and compared it with the corresponding experimental folding rate. The resulting correlation coefficient is similar to that computed for the contact orders of the native structures, supporting the use of native state contact orders for predicting folding rates. The native contacts in the transition state also correlate with those of the native state but are found to be about 30% lower. These results show that, despite the high levels of heterogeneity in the transition state ensemble, the large majority of contributing structures have native-like topologies and that the native state contact order captures this phenomenon.

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Year:  2005        PMID: 16120445     DOI: 10.1016/j.jmb.2005.06.081

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


  19 in total

1.  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

2.  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

Review 3.  Combining experiment and simulation in protein folding: closing the gap for small model systems.

Authors:  R Dustin Schaeffer; Alan Fersht; Valerie Daggett
Journal:  Curr Opin Struct Biol       Date:  2008-02-01       Impact factor: 6.809

4.  Generating properly weighted ensemble of conformations of proteins from sparse or indirect distance constraints.

Authors:  Ming Lin; Hsiao-Mei Lu; Rong Chen; Jie Liang
Journal:  J Chem Phys       Date:  2008-09-07       Impact factor: 3.488

Review 5.  Kinetic barriers and the role of topology in protein and RNA folding.

Authors:  Tobin R Sosnick
Journal:  Protein Sci       Date:  2008-05-23       Impact factor: 6.725

6.  Constrained proper sampling of conformations of transition state ensemble of protein folding.

Authors:  Ming Lin; Jian Zhang; Hsiao-Mei Lu; Rong Chen; Jie Liang
Journal:  J Chem Phys       Date:  2011-02-21       Impact factor: 3.488

7.  Protein unfolding rates correlate as strongly as folding rates with native structure.

Authors:  Aron Broom; Shachi Gosavi; Elizabeth M Meiering
Journal:  Protein Sci       Date:  2014-12-26       Impact factor: 6.725

8.  Atomic-level description of ubiquitin folding.

Authors:  Stefano Piana; Kresten Lindorff-Larsen; David E Shaw
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-15       Impact factor: 11.205

9.  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

10.  What have we learned from the studies of two-state folders, and what are the unanswered questions about two-state protein folding?

Authors:  Doug Barrick
Journal:  Phys Biol       Date:  2009-02-10       Impact factor: 2.583

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