Literature DB >> 11214326

Three key residues form a critical contact network in a protein folding transition state.

M Vendruscolo1, E Paci, C M Dobson, M Karplus.   

Abstract

Determining how a protein folds is a central problem in structural biology. The rate of folding of many proteins is determined by the transition state, so that a knowledge of its structure is essential for understanding the protein folding reaction. Here we use mutation measurements--which determine the role of individual residues in stabilizing the transition state--as restraints in a Monte Carlo sampling procedure to determine the ensemble of structures that make up the transition state. We apply this approach to the experimental data for the 98-residue protein acylphosphatase, and obtain a transition-state ensemble with the native-state topology and an average root-mean-square deviation of 6 A from the native structure. Although about 20 residues with small positional fluctuations form the structural core of this transition state, the native-like contact network of only three of these residues is sufficient to determine the overall fold of the protein. This result reveals how a nucleation mechanism involving a small number of key residues can lead to folding of a polypeptide chain to its unique native-state structure.

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Year:  2001        PMID: 11214326     DOI: 10.1038/35054591

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  143 in total

1.  Unspecific hydrophobic stabilization of folding transition states.

Authors:  Ana Rosa Viguera; Cristina Vega; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

2.  Molecular dynamics simulations of protein folding from the transition state.

Authors:  Jörg Gsponer; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

3.  Constructing, verifying, and dissecting the folding transition state of chymotrypsin inhibitor 2 with all-atom simulations.

Authors:  L Li; E I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

4.  Surfing on protein folding energy landscapes.

Authors:  Joost W H Schymkowitz; Frederic Rousseau; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

5.  Functional modules by relating protein interaction networks and gene expression.

Authors:  Sabine Tornow; H W Mewes
Journal:  Nucleic Acids Res       Date:  2003-11-01       Impact factor: 16.971

6.  Structures and relative free energies of partially folded states of proteins.

Authors:  Michele Vendruscolo; Emanuele Paci; Martin Karplus; Christopher M Dobson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-01       Impact factor: 11.205

7.  Topological determinants of protein folding.

Authors:  Nikolay V Dokholyan; Lewyn Li; Feng Ding; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-25       Impact factor: 11.205

8.  Self-consistent determination of the transition state for protein folding: application to a fibronectin type III domain.

Authors:  Emanuele Paci; Jane Clarke; Annette Steward; Michele Vendruscolo; Martin Karplus
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-06       Impact factor: 11.205

9.  Calculation of mutational free energy changes in transition states for protein folding.

Authors:  Kresten Lindorff-Larsen; Emanuele Paci; Luis Serrano; Christopher M Dobson; Michele Vendruscolo
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

10.  Network visualization of conformational sampling during molecular dynamics simulation.

Authors:  Logan S Ahlstrom; Joseph Lee Baker; Kent Ehrlich; Zachary T Campbell; Sunita Patel; Ivan I Vorontsov; Florence Tama; Osamu Miyashita
Journal:  J Mol Graph Model       Date:  2013-10-16       Impact factor: 2.518

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