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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...

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Detalles Bibliográficos
Autores principales: Qi, Zhao-Hui, Li, Ke-Cheng, Ma, Jin-Long, Yao, Yu-Hua, Liu, Ling-Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
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.
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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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