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Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application
In this article, we propose a 3-dimensional graphical representation of protein sequences based on 10 physicochemical properties of 20 amino acids and the BLOSUM62 matrix. It contains evolutionary information and provides intuitive visualization. To further analyze the similarity of proteins, we ext...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024350/ https://www.ncbi.nlm.nih.gov/pubmed/29977111 http://dx.doi.org/10.1177/1176934318777755 |
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author | Qi, Zhao-Hui Li, Ke-Cheng Ma, Jin-Long Yao, Yu-Hua Liu, Ling-Yun |
author_facet | Qi, Zhao-Hui Li, Ke-Cheng Ma, Jin-Long Yao, Yu-Hua Liu, Ling-Yun |
author_sort | Qi, Zhao-Hui |
collection | PubMed |
description | In this article, we propose a 3-dimensional graphical representation of protein sequences based on 10 physicochemical properties of 20 amino acids and the BLOSUM62 matrix. It contains evolutionary information and provides intuitive visualization. To further analyze the similarity of proteins, we extract a specific vector from the graphical representation curve. The vector is used to calculate the similarity distance between 2 protein sequences. To prove the effectiveness of our approach, we apply it to 3 real data sets. The results are consistent with the known evolution fact and show that our method is effective in phylogenetic analysis. |
format | Online Article Text |
id | pubmed-6024350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60243502018-07-05 Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application Qi, Zhao-Hui Li, Ke-Cheng Ma, Jin-Long Yao, Yu-Hua Liu, Ling-Yun Evol Bioinform Online Original Research In this article, we propose a 3-dimensional graphical representation of protein sequences based on 10 physicochemical properties of 20 amino acids and the BLOSUM62 matrix. It contains evolutionary information and provides intuitive visualization. To further analyze the similarity of proteins, we extract a specific vector from the graphical representation curve. The vector is used to calculate the similarity distance between 2 protein sequences. To prove the effectiveness of our approach, we apply it to 3 real data sets. The results are consistent with the known evolution fact and show that our method is effective in phylogenetic analysis. SAGE Publications 2018-06-12 /pmc/articles/PMC6024350/ /pubmed/29977111 http://dx.doi.org/10.1177/1176934318777755 Text en © The Author(s) 2018 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Qi, Zhao-Hui Li, Ke-Cheng Ma, Jin-Long Yao, Yu-Hua Liu, Ling-Yun Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application |
title | Novel Method of 3-Dimensional Graphical Representation for Proteins
and Its Application |
title_full | Novel Method of 3-Dimensional Graphical Representation for Proteins
and Its Application |
title_fullStr | Novel Method of 3-Dimensional Graphical Representation for Proteins
and Its Application |
title_full_unstemmed | Novel Method of 3-Dimensional Graphical Representation for Proteins
and Its Application |
title_short | Novel Method of 3-Dimensional Graphical Representation for Proteins
and Its Application |
title_sort | novel method of 3-dimensional graphical representation for proteins
and its application |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024350/ https://www.ncbi.nlm.nih.gov/pubmed/29977111 http://dx.doi.org/10.1177/1176934318777755 |
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