Protein structure prediction based on particle swarm optimization and tabu search strategy

BACKGROUND: The stability of protein sequence structure plays an important role in the prevention and treatment of diseases. RESULTS: In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. The experimental results show that:...

Descripción completa

Detalles Bibliográficos
Autores principales: Shuchun, Yu, Xianxiang, Li, Xue, Tian, Ming, Pang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396775/
https://www.ncbi.nlm.nih.gov/pubmed/35999491
http://dx.doi.org/10.1186/s12859-022-04888-4
_version_ 1784771995897954304
author Shuchun, Yu
Xianxiang, Li
Xue, Tian
Ming, Pang
author_facet Shuchun, Yu
Xianxiang, Li
Xue, Tian
Ming, Pang
author_sort Shuchun, Yu
collection PubMed
description BACKGROUND: The stability of protein sequence structure plays an important role in the prevention and treatment of diseases. RESULTS: In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. The experimental results show that: for four groups of artificial protein sequences with different lengths, this method obtains the lowest potential energy value and stable structure prediction results, and the effect is obviously better than the other two comparison methods. Taking the first group of protein sequences as an example, our method improves the prediction of minimum potential energy by 127% and 7% respectively. CONCLUSIONS: Therefore, the method proposed in this paper is more suitable for the prediction of protein structural stability.
format Online
Article
Text
id pubmed-9396775
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93967752022-08-24 Protein structure prediction based on particle swarm optimization and tabu search strategy Shuchun, Yu Xianxiang, Li Xue, Tian Ming, Pang BMC Bioinformatics Research BACKGROUND: The stability of protein sequence structure plays an important role in the prevention and treatment of diseases. RESULTS: In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. The experimental results show that: for four groups of artificial protein sequences with different lengths, this method obtains the lowest potential energy value and stable structure prediction results, and the effect is obviously better than the other two comparison methods. Taking the first group of protein sequences as an example, our method improves the prediction of minimum potential energy by 127% and 7% respectively. CONCLUSIONS: Therefore, the method proposed in this paper is more suitable for the prediction of protein structural stability. BioMed Central 2022-08-23 /pmc/articles/PMC9396775/ /pubmed/35999491 http://dx.doi.org/10.1186/s12859-022-04888-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shuchun, Yu
Xianxiang, Li
Xue, Tian
Ming, Pang
Protein structure prediction based on particle swarm optimization and tabu search strategy
title Protein structure prediction based on particle swarm optimization and tabu search strategy
title_full Protein structure prediction based on particle swarm optimization and tabu search strategy
title_fullStr Protein structure prediction based on particle swarm optimization and tabu search strategy
title_full_unstemmed Protein structure prediction based on particle swarm optimization and tabu search strategy
title_short Protein structure prediction based on particle swarm optimization and tabu search strategy
title_sort protein structure prediction based on particle swarm optimization and tabu search strategy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396775/
https://www.ncbi.nlm.nih.gov/pubmed/35999491
http://dx.doi.org/10.1186/s12859-022-04888-4
work_keys_str_mv AT shuchunyu proteinstructurepredictionbasedonparticleswarmoptimizationandtabusearchstrategy
AT xianxiangli proteinstructurepredictionbasedonparticleswarmoptimizationandtabusearchstrategy
AT xuetian proteinstructurepredictionbasedonparticleswarmoptimizationandtabusearchstrategy
AT mingpang proteinstructurepredictionbasedonparticleswarmoptimizationandtabusearchstrategy

Ejemplares similares