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DV-Curve Representation of Protein Sequences and Its Application
Based on the detailed hydrophobic-hydrophilic(HP) model of amino acids, we propose dual-vector curve (DV-curve) representation of protein sequences, which uses two vectors to represent one alphabet of protein sequences. This graphical representation not only avoids degeneracy, but also has good visu...
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/PMC4034481/ https://www.ncbi.nlm.nih.gov/pubmed/24899916 http://dx.doi.org/10.1155/2014/203871 |
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author | Deng, Wei Luan, Yihui |
author_facet | Deng, Wei Luan, Yihui |
author_sort | Deng, Wei |
collection | PubMed |
description | Based on the detailed hydrophobic-hydrophilic(HP) model of amino acids, we propose dual-vector curve (DV-curve) representation of protein sequences, which uses two vectors to represent one alphabet of protein sequences. This graphical representation not only avoids degeneracy, but also has good visualization no matter how long these sequences are, and can reflect the length of protein sequence. Then we transform the 2D-graphical representation into a numerical characterization that can facilitate quantitative comparison of protein sequences. The utility of this approach is illustrated by two examples: one is similarity/dissimilarity comparison among different ND6 protein sequences based on their DV-curve figures the other is the phylogenetic analysis among coronaviruses based on their spike proteins. |
format | Online Article Text |
id | pubmed-4034481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40344812014-06-04 DV-Curve Representation of Protein Sequences and Its Application Deng, Wei Luan, Yihui Comput Math Methods Med Research Article Based on the detailed hydrophobic-hydrophilic(HP) model of amino acids, we propose dual-vector curve (DV-curve) representation of protein sequences, which uses two vectors to represent one alphabet of protein sequences. This graphical representation not only avoids degeneracy, but also has good visualization no matter how long these sequences are, and can reflect the length of protein sequence. Then we transform the 2D-graphical representation into a numerical characterization that can facilitate quantitative comparison of protein sequences. The utility of this approach is illustrated by two examples: one is similarity/dissimilarity comparison among different ND6 protein sequences based on their DV-curve figures the other is the phylogenetic analysis among coronaviruses based on their spike proteins. Hindawi Publishing Corporation 2014 2014-05-08 /pmc/articles/PMC4034481/ /pubmed/24899916 http://dx.doi.org/10.1155/2014/203871 Text en Copyright © 2014 W. Deng and Y. Luan. 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 Deng, Wei Luan, Yihui DV-Curve Representation of Protein Sequences and Its Application |
title | DV-Curve Representation of Protein Sequences and Its Application |
title_full | DV-Curve Representation of Protein Sequences and Its Application |
title_fullStr | DV-Curve Representation of Protein Sequences and Its Application |
title_full_unstemmed | DV-Curve Representation of Protein Sequences and Its Application |
title_short | DV-Curve Representation of Protein Sequences and Its Application |
title_sort | dv-curve representation of protein sequences and its application |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4034481/ https://www.ncbi.nlm.nih.gov/pubmed/24899916 http://dx.doi.org/10.1155/2014/203871 |
work_keys_str_mv | AT dengwei dvcurverepresentationofproteinsequencesanditsapplication AT luanyihui dvcurverepresentationofproteinsequencesanditsapplication |