Literature DB >> 15558603

Topological determinants of protein unfolding rates.

Jaewoon Jung1, Jooyoung Lee, Hie-Tae Moon.   

Abstract

For proteins that fold by two-state kinetics, the folding and unfolding processes are believed to be closely related to their native structures. In particular, folding and unfolding rates are influenced by the native structures of proteins. Thus, we focus on finding important topological quantities from a protein structure that determine its unfolding rate. After constructing graphs from protein native structures, we investigate the relationships between unfolding rates and various topological quantities of the graphs. First, we find that the correlation between the unfolding rate and the contact order is not as prominent as in the case of the folding rate and the contact order. Next, we investigate the correlation between the unfolding rate and the clustering coefficient of the graph of a protein native structure, and observe no correlation between them. Finally, we find that a newly introduced quantity, the impact of edge removal per residue, has a good overall correlation with protein unfolding rates. The impact of edge removal is defined as the ratio of the change of the average path length to the edge removal probability. From these facts, we conclude that the protein unfolding process is closely related to the protein native structure.

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Year:  2005        PMID: 15558603     DOI: 10.1002/prot.20324

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


  5 in total

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

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Journal:  Protein Sci       Date:  2014-12-26       Impact factor: 6.725

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4.  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

5.  The Unfolding MD Simulations of Cyclophilin: Analyzed by Surface Contact Networks and Their Associated Metrics.

Authors:  Sourav Roy; Sankar Basu; Dipak Dasgupta; Dhananjay Bhattacharyya; Rahul Banerjee
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

  5 in total

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