Literature DB >> 25245368

A Hooke׳s law-based approach to protein folding rate.

Yasser B Ruiz-Blanco1, Yovani Marrero-Ponce2, Pablo J Prieto3, Jesús Salgado4, Yamila García5, Clivia M Sotomayor-Torres6.   

Abstract

Kinetics is a key aspect of the renowned protein folding problem. Here, we propose a comprehensive approach to folding kinetics where a polypeptide chain is assumed to behave as an elastic material described by the Hooke׳s law. A novel parameter called elastic-folding constant results from our model and is suggested to distinguish between protein with two-state and multi-state folding pathways. A contact-free descriptor, named folding degree, is introduced as a suitable structural feature to study protein-folding kinetics. This approach generalizes the observed correlations between varieties of structural descriptors with the folding rate constant. Additionally several comparisons among structural classes and folding mechanisms were carried out showing the good performance of our model with proteins of different types. The present model constitutes a simple rationale for the structural and energetic factors involved in protein folding kinetics.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Elastic folding constant; Folding degree; Folding kinetics; PROTDCAL

Mesh:

Substances:

Year:  2014        PMID: 25245368     DOI: 10.1016/j.jtbi.2014.09.002

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  ProtDCal-Suite: A web server for the numerical codification and functional analysis of proteins.

Authors:  Sandra Romero-Molina; Yasser B Ruiz-Blanco; James R Green; Elsa Sanchez-Garcia
Journal:  Protein Sci       Date:  2019-09       Impact factor: 6.725

2.  ProtDCal: A program to compute general-purpose-numerical descriptors for sequences and 3D-structures of proteins.

Authors:  Yasser B Ruiz-Blanco; Waldo Paz; James Green; Yovani Marrero-Ponce
Journal:  BMC Bioinformatics       Date:  2015-05-16       Impact factor: 3.169

3.  Exploring general-purpose protein features for distinguishing enzymes and non-enzymes within the twilight zone.

Authors:  Yasser B Ruiz-Blanco; Guillermin Agüero-Chapin; Enrique García-Hernández; Orlando Álvarez; Agostinho Antunes; James Green
Journal:  BMC Bioinformatics       Date:  2017-07-21       Impact factor: 3.169

4.  Tensor Algebra-based Geometrical (3D) Biomacro-Molecular Descriptors for Protein Research: Theory, Applications and Comparison with other Methods.

Authors:  Julio E Terán; Yovani Marrero-Ponce; Ernesto Contreras-Torres; César R García-Jacas; Ricardo Vivas-Reyes; Enrique Terán; F Javier Torres
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  4 in total

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