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Chaotic Multiquenching Annealing Applied to the Protein Folding Problem

The Chaotic Multiquenching Annealing algorithm (CMQA) is proposed. CMQA is a new algorithm, which is applied to protein folding problem (PFP). This algorithm is divided into three phases: (i) multiquenching phase (MQP), (ii) annealing phase (AP), and (iii) dynamical equilibrium phase (DEP). MQP enfo...

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Autores principales: Frausto-Solis, Juan, Liñan-García, Ernesto, Sánchez-Pérez, Mishael, Sánchez-Hernández, Juan Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980881/
https://www.ncbi.nlm.nih.gov/pubmed/24790563
http://dx.doi.org/10.1155/2014/364352
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author Frausto-Solis, Juan
Liñan-García, Ernesto
Sánchez-Pérez, Mishael
Sánchez-Hernández, Juan Paulo
author_facet Frausto-Solis, Juan
Liñan-García, Ernesto
Sánchez-Pérez, Mishael
Sánchez-Hernández, Juan Paulo
author_sort Frausto-Solis, Juan
collection PubMed
description The Chaotic Multiquenching Annealing algorithm (CMQA) is proposed. CMQA is a new algorithm, which is applied to protein folding problem (PFP). This algorithm is divided into three phases: (i) multiquenching phase (MQP), (ii) annealing phase (AP), and (iii) dynamical equilibrium phase (DEP). MQP enforces several stages of quick quenching processes that include chaotic functions. The chaotic functions can increase the exploration potential of solutions space of PFP. AP phase implements a simulated annealing algorithm (SA) with an exponential cooling function. MQP and AP are delimited by different ranges of temperatures; MQP is applied for a range of temperatures which goes from extremely high values to very high values; AP searches for solutions in a range of temperatures from high values to extremely low values. DEP phase finds the equilibrium in a dynamic way by applying least squares method. CMQA is tested with several instances of PFP.
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spelling pubmed-39808812014-04-30 Chaotic Multiquenching Annealing Applied to the Protein Folding Problem Frausto-Solis, Juan Liñan-García, Ernesto Sánchez-Pérez, Mishael Sánchez-Hernández, Juan Paulo ScientificWorldJournal Research Article The Chaotic Multiquenching Annealing algorithm (CMQA) is proposed. CMQA is a new algorithm, which is applied to protein folding problem (PFP). This algorithm is divided into three phases: (i) multiquenching phase (MQP), (ii) annealing phase (AP), and (iii) dynamical equilibrium phase (DEP). MQP enforces several stages of quick quenching processes that include chaotic functions. The chaotic functions can increase the exploration potential of solutions space of PFP. AP phase implements a simulated annealing algorithm (SA) with an exponential cooling function. MQP and AP are delimited by different ranges of temperatures; MQP is applied for a range of temperatures which goes from extremely high values to very high values; AP searches for solutions in a range of temperatures from high values to extremely low values. DEP phase finds the equilibrium in a dynamic way by applying least squares method. CMQA is tested with several instances of PFP. Hindawi Publishing Corporation 2014-03-20 /pmc/articles/PMC3980881/ /pubmed/24790563 http://dx.doi.org/10.1155/2014/364352 Text en Copyright © 2014 Juan Frausto-Solis et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Frausto-Solis, Juan
Liñan-García, Ernesto
Sánchez-Pérez, Mishael
Sánchez-Hernández, Juan Paulo
Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title_full Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title_fullStr Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title_full_unstemmed Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title_short Chaotic Multiquenching Annealing Applied to the Protein Folding Problem
title_sort chaotic multiquenching annealing applied to the protein folding problem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980881/
https://www.ncbi.nlm.nih.gov/pubmed/24790563
http://dx.doi.org/10.1155/2014/364352
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