Literature DB >> 16405339

Effect of finite size on cooperativity and rates of protein folding.

Maksim Kouza1, Mai Suan Li, Edward P O'brien, Chin-Kun Hu, D Thirumalai.   

Abstract

We analyze the dependence of cooperativity of the thermal denaturation transition and folding rates of globular proteins on the number of amino acid residues, N, using lattice models with side chains, off-lattice Go models, and the available experimental data. A dimensionless measure of cooperativity, Omega(c) (0 < Omega(c) < infinity), scales as Omega(c) approximately N(zeta). The results of simulations and the analysis of experimental data further confirm the earlier prediction that zeta is universal with zeta = 1 + gamma, where exponent gamma characterizes the susceptibility of a self-avoiding walk. This finding suggests that the structural characteristics in the denaturated state are manifested in the folding cooperativity at the transition temperature. The folding rates k(F) for the Go models and a dataset of 69 proteins can be fit using k(F) = k(F)0 exp(-cN(beta)). Both beta = 1/2 and 2/3 provide a good fit of the data. We find that k(F) = k(F)0 exp(-cN(1/2)), with the average (over the dataset of proteins) k(F)0 approximately (0.2 micros)(-1) and c approximately 1.1, can be used to estimate folding rates to within an order of magnitude in most cases. The minimal models give identical N dependence with c approximately 1. The prefactor for off-lattice Go models is nearly 4 orders of magnitude larger than the experimental value.

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Year:  2006        PMID: 16405339     DOI: 10.1021/jp053770b

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  24 in total

1.  The effect of electrostatics on the marginal cooperativity of an ultrafast folding protein.

Authors:  Tanay M Desai; Michele Cerminara; Mourad Sadqi; Victor Muñoz
Journal:  J Biol Chem       Date:  2010-08-22       Impact factor: 5.157

Review 2.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

3.  Refolding upon force quench and pathways of mechanical and thermal unfolding of ubiquitin.

Authors:  Mai Suan Li; Maksim Kouza; Chin-Kun Hu
Journal:  Biophys J       Date:  2006-10-27       Impact factor: 4.033

4.  Arc-repressor dimerization on DNA: folding rate enhancement by colocalization.

Authors:  Amir Marcovitz; Yaakov Levy
Journal:  Biophys J       Date:  2009-05-20       Impact factor: 4.033

5.  Exploiting the downhill folding regime via experiment.

Authors:  Victor Muñoz; Mourad Sadqi; Athi N Naganathan; David de Sancho
Journal:  HFSP J       Date:  2008-10-13

6.  Simulating movement of tRNA through the ribosome during hybrid-state formation.

Authors:  Paul C Whitford; Karissa Y Sanbonmatsu
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

7.  Topography of funneled landscapes determines the thermodynamics and kinetics of protein folding.

Authors:  Jin Wang; Ronaldo J Oliveira; Xiakun Chu; Paul C Whitford; Jorge Chahine; Wei Han; Erkang Wang; José N Onuchic; Vitor B P Leite
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-10       Impact factor: 11.205

8.  Excluded volume, local structural cooperativity, and the polymer physics of protein folding rates.

Authors:  Xianghong Qi; John J Portman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-14       Impact factor: 11.205

9.  A semi-analytical description of protein folding that incorporates detailed geometrical information.

Authors:  Yoko Suzuki; Jeffrey K Noel; José N Onuchic
Journal:  J Chem Phys       Date:  2011-06-28       Impact factor: 3.488

10.  Using Cooperatively Folded Peptides To Measure Interaction Energies and Conformational Propensities.

Authors:  Maziar S Ardejani; Evan T Powers; Jeffery W Kelly
Journal:  Acc Chem Res       Date:  2017-07-19       Impact factor: 22.384

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