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A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model
A branch and bound algorithm is proposed for the two-dimensional protein folding problem in the HP lattice model. In this algorithm, the benefit of each possible location of hydrophobic monomers is evaluated and only promising nodes are kept for further branching at each level. The proposed algorith...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172541/ https://www.ncbi.nlm.nih.gov/pubmed/16689690 http://dx.doi.org/10.1016/S1672-0229(05)03031-7 |
_version_ | 1782484145338843136 |
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author | Chen, Mao Huang, Wen-Qi |
author_facet | Chen, Mao Huang, Wen-Qi |
author_sort | Chen, Mao |
collection | PubMed |
description | A branch and bound algorithm is proposed for the two-dimensional protein folding problem in the HP lattice model. In this algorithm, the benefit of each possible location of hydrophobic monomers is evaluated and only promising nodes are kept for further branching at each level. The proposed algorithm is compared with other well-known methods for 10 benchmark sequences with lengths ranging from 20 to 100 monomers. The results indicate that our method is a very efficient and promising tool for the protein folding problem. |
format | Online Article Text |
id | pubmed-5172541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51725412016-12-23 A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model Chen, Mao Huang, Wen-Qi Genomics Proteomics Bioinformatics Article A branch and bound algorithm is proposed for the two-dimensional protein folding problem in the HP lattice model. In this algorithm, the benefit of each possible location of hydrophobic monomers is evaluated and only promising nodes are kept for further branching at each level. The proposed algorithm is compared with other well-known methods for 10 benchmark sequences with lengths ranging from 20 to 100 monomers. The results indicate that our method is a very efficient and promising tool for the protein folding problem. Elsevier 2005 2016-11-28 /pmc/articles/PMC5172541/ /pubmed/16689690 http://dx.doi.org/10.1016/S1672-0229(05)03031-7 Text en . http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Chen, Mao Huang, Wen-Qi A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title | A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title_full | A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title_fullStr | A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title_full_unstemmed | A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title_short | A Branch and Bound Algorithm for the Protein Folding Problem in the HP Lattice Model |
title_sort | branch and bound algorithm for the protein folding problem in the hp lattice model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172541/ https://www.ncbi.nlm.nih.gov/pubmed/16689690 http://dx.doi.org/10.1016/S1672-0229(05)03031-7 |
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