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Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses
In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai University Press
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111541/ https://www.ncbi.nlm.nih.gov/pubmed/32288423 http://dx.doi.org/10.1007/s11741-003-0078-8 |
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author | Shi, Ding-Hua Zhou, Hui-Jie Wang, Bin-Bin Gu, Yan-Hong Wang, Yi-Fei |
author_facet | Shi, Ding-Hua Zhou, Hui-Jie Wang, Bin-Bin Gu, Yan-Hong Wang, Yi-Fei |
author_sort | Shi, Ding-Hua |
collection | PubMed |
description | In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was implemented through the SAHMM (Self-Adapting Hidden Markov Model) software developed by the authors. |
format | Online Article Text |
id | pubmed-7111541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Shanghai University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71115412020-04-02 Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses Shi, Ding-Hua Zhou, Hui-Jie Wang, Bin-Bin Gu, Yan-Hong Wang, Yi-Fei J Shanghai Univ Letters In this paper, we report a multiple sequence alignment result on the basis of 10 amino acid sequences of the M protein, which come from different coronaviruses (4 SARS-associated and 6 others known). The alignment model was based on the profile HMM (Hidden Markov Model), and the model training was implemented through the SAHMM (Self-Adapting Hidden Markov Model) software developed by the authors. Shanghai University Press 2003 /pmc/articles/PMC7111541/ /pubmed/32288423 http://dx.doi.org/10.1007/s11741-003-0078-8 Text en © Shanghai University 2003 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Letters Shi, Ding-Hua Zhou, Hui-Jie Wang, Bin-Bin Gu, Yan-Hong Wang, Yi-Fei Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title | Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title_full | Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title_fullStr | Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title_full_unstemmed | Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title_short | Multiple sequence alignment of the M protein in SARS-associated and other known coronaviruses |
title_sort | multiple sequence alignment of the m protein in sars-associated and other known coronaviruses |
topic | Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111541/ https://www.ncbi.nlm.nih.gov/pubmed/32288423 http://dx.doi.org/10.1007/s11741-003-0078-8 |
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