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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-3980881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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