Literature DB >> 9714155

Protein folding mechanisms and the multidimensional folding funnel.

N D Socci1, J N Onuchic, P G Wolynes.   

Abstract

An important idea that emerges from the energy landscape theory of protein folding is that subtle global features of the protein landscape can profoundly affect the apparent mechanism of folding. The relationship between various characteristic temperatures in the phase diagrams and landmarks in the folding funnel at fixed temperatures can be used to classify different folding behaviors. The one-dimensional picture of a folding funnel classifies folding kinetics into four basic scenarios, depending on the relative location of the thermodynamic barrier and the glass transition as a function of a single-order parameter. However, the folding mechanism may not always be quantitatively described by a single-order parameter. Several other order parameters, such as degree of secondary structure formation, collapse and topological order, are needed to establish the connection between minimalist models and proteins in the laboratory. In this article we describe a simple multidimensional funnel based on two-order parameters that measure the degree of collapse and topological order. The appearance of several different "mechanisms" is illustrated by analyzing lattice models with different potentials and sequences with different degrees of design. In most cases, the two-dimensional analysis leads to a classification of mechanisms totally in keeping with the one-dimensional scheme, but a topologically distinct scenario of fast folding with traps also emerges. The nature of traps depends on the relative location of the glass transition surface and the thermodynamic barrier in the multidimensional funnel.

Mesh:

Year:  1998        PMID: 9714155

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  46 in total

1.  A statistical mechanical method to optimize energy functions for protein folding.

Authors:  U Bastolla; M Vendruscolo; E W Knapp
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-11       Impact factor: 11.205

2.  An essential intermediate in the folding of dihydrofolate reductase.

Authors:  D K Heidary; J C O'Neill; M Roy; P A Jennings
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

3.  RNA folding energy landscapes.

Authors:  S J Chen; K A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-18       Impact factor: 11.205

4.  Pressure-induced protein-folding/unfolding kinetics.

Authors:  N Hillson; J N Onuchic; A E García
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

Review 5.  Searching for "downhill scenarios" in protein folding.

Authors:  W A Eaton
Journal:  Proc Natl Acad Sci U S A       Date:  1999-05-25       Impact factor: 11.205

6.  Fast protein folding kinetics.

Authors:  Jack Schonbrun; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-20       Impact factor: 11.205

Review 7.  The topomer search model: A simple, quantitative theory of two-state protein folding kinetics.

Authors:  Dmitrii E Makarov; Kevin W Plaxco
Journal:  Protein Sci       Date:  2003-01       Impact factor: 6.725

8.  Fast-folding protein kinetics, hidden intermediates, and the sequential stabilization model.

Authors:  S Banu Ozkan; Ken A Dill; Ivet Bahar
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

9.  An atomically detailed study of the folding pathways of protein A with the stochastic difference equation.

Authors:  Avijit Ghosh; Ron Elber; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-24       Impact factor: 11.205

10.  Latest folding game results: protein A barely frustrates computationalists.

Authors:  Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-27       Impact factor: 11.205

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