Literature DB >> 22146659

Local and non-local native topologies reveal the underlying folding landscape of proteins.

Taisong Zou1, S Banu Ozkan.   

Abstract

Due to Plaxco, Simons, Baker and others, it is now well known that the two-state single domain protein folding rate is fairly well predicted from knowledge of the topology of the native structure. Plaxco et al found that the folding rates of two-state proteins correlate with the average degree to which native contacts are 'local' within the chain sequence: fast-folders usually have mostly local structures. Here, we dissected the native topology further by focusing on non-local and local contacts using lower and upper bounds of allowable sequence separation in computing the average contact order. We analyzed non-local and local contacts of 82 two-state proteins whose experimental folding rates span over six orders of magnitude. We observed that both the number of non-local contacts and the average sequence separation of non-local contacts (non-local CO) are both negatively correlated with the folding rate, showing that the non-local contacts dominate the barrier-crossing process. Surprisingly, the local contact orders of the proteins also correlate with the folding rates. However, this correlation shows a strong positive trend indicating the role of a diffusive search in the denatured basin.

Year:  2011        PMID: 22146659     DOI: 10.1088/1478-3975/8/6/066011

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  9 in total

1.  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

2.  A comprehensive database of verified experimental data on protein folding kinetics.

Authors:  Amy S Wagaman; Aaron Coburn; Itai Brand-Thomas; Barnali Dash; Sheila S Jaswal
Journal:  Protein Sci       Date:  2014-10-14       Impact factor: 6.725

3.  Effect of Protein Structure on Evolution of Cotranslational Folding.

Authors:  Victor Zhao; William M Jacobs; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2020-08-12       Impact factor: 4.033

4.  General mechanism of two-state protein folding kinetics.

Authors:  Geoffrey C Rollins; Ken A Dill
Journal:  J Am Chem Soc       Date:  2014-07-30       Impact factor: 15.419

5.  Assessing the effect of dynamics on the closed-loop protein-folding hypothesis.

Authors:  Sree V Chintapalli; Christopher J R Illingworth; Graham J G Upton; Sophie Sacquin-Mora; Philip J Reeves; Hani S Mohammedali; Christopher A Reynolds
Journal:  J R Soc Interface       Date:  2013-11-20       Impact factor: 4.118

6.  Proteome folding kinetics is limited by protein halflife.

Authors:  Taisong Zou; Nickolas Williams; S Banu Ozkan; Kingshuk Ghosh
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

7.  PFDB: A standardized protein folding database with temperature correction.

Authors:  Balachandran Manavalan; Kunihiro Kuwajima; Jooyoung Lee
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

8.  The protein folding rate and the geometry and topology of the native state.

Authors:  Jason Wang; Eleni Panagiotou
Journal:  Sci Rep       Date:  2022-04-16       Impact factor: 4.996

Review 9.  Role of Proteome Physical Chemistry in Cell Behavior.

Authors:  Kingshuk Ghosh; Adam M R de Graff; Lucas Sawle; Ken A Dill
Journal:  J Phys Chem B       Date:  2016-08-24       Impact factor: 2.991

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.