Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation
Sequence comparison is one of the foundations in bioinformatics, which can be used to study evolutionary relations among the sequences. In this study, a 2D spectrum-like graphical representation of protein sequences is presented based on the hydrophobicity scale of amino acids. The frequencies of am...
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Series: | Evolutionary Bioinformatics |
Online Access: | https://doi.org/10.4137/EBO.S14713 |
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doaj-0728941eef934967b44518c2f96755732020-11-25T03:12:30ZengSAGE PublishingEvolutionary Bioinformatics1176-93432014-01-011010.4137/EBO.S14713Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical RepresentationYuhua Yao0Shoujiang Yan1Huimin Xu2Jianning Han3Xuying Nan4Ping-an He5Qi Dai6College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.Sequence comparison is one of the foundations in bioinformatics, which can be used to study evolutionary relations among the sequences. In this study, a 2D spectrum-like graphical representation of protein sequences is presented based on the hydrophobicity scale of amino acids. The frequencies of amplitudes of 4-subsequences are adopted to characterize a spectrum-like graph, and a 17D vector is used as the descriptor of protein sequence. The Ç 2 value of compatibility test is performed. New similarity analysis approach is illustrated on the all protein sequences, which are encoded by the mitochondrion genome of 20 different species. Finally, comparison with the ClustalW method shows the utility of our method.https://doi.org/10.4137/EBO.S14713 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuhua Yao Shoujiang Yan Huimin Xu Jianning Han Xuying Nan Ping-an He Qi Dai |
spellingShingle |
Yuhua Yao Shoujiang Yan Huimin Xu Jianning Han Xuying Nan Ping-an He Qi Dai Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation Evolutionary Bioinformatics |
author_facet |
Yuhua Yao Shoujiang Yan Huimin Xu Jianning Han Xuying Nan Ping-an He Qi Dai |
author_sort |
Yuhua Yao |
title |
Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation |
title_short |
Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation |
title_full |
Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation |
title_fullStr |
Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation |
title_full_unstemmed |
Similarity/Dissimilarity Analysis of Protein Sequences Based on a New Spectrum-Like Graphical Representation |
title_sort |
similarity/dissimilarity analysis of protein sequences based on a new spectrum-like graphical representation |
publisher |
SAGE Publishing |
series |
Evolutionary Bioinformatics |
issn |
1176-9343 |
publishDate |
2014-01-01 |
description |
Sequence comparison is one of the foundations in bioinformatics, which can be used to study evolutionary relations among the sequences. In this study, a 2D spectrum-like graphical representation of protein sequences is presented based on the hydrophobicity scale of amino acids. The frequencies of amplitudes of 4-subsequences are adopted to characterize a spectrum-like graph, and a 17D vector is used as the descriptor of protein sequence. The Ç 2 value of compatibility test is performed. New similarity analysis approach is illustrated on the all protein sequences, which are encoded by the mitochondrion genome of 20 different species. Finally, comparison with the ClustalW method shows the utility of our method. |
url |
https://doi.org/10.4137/EBO.S14713 |
work_keys_str_mv |
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