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A novel fingerprint map for detecting SARS-CoV
Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127393/ https://www.ncbi.nlm.nih.gov/pubmed/16289934 http://dx.doi.org/10.1016/j.jpba.2005.09.031 |
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author | Gao, Lei Ding, Yong-Sheng Dai, Hua Shao, Shi-Huang Huang, Zhen-De Chou, Kuo-Chen |
author_facet | Gao, Lei Ding, Yong-Sheng Dai, Hua Shao, Shi-Huang Huang, Zhen-De Chou, Kuo-Chen |
author_sort | Gao, Lei |
collection | PubMed |
description | Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of S protein of SARS-CoV and its receptor are conducted thru a mathematical transformation and graphic approach. As an outcome, a novel method for visualizing the characteristic of SARS-CoV is suggested. An extensive comparison among a large number of genome sequences has proved that the characteristic thus revealed is unique for SARS-CoV. As such, the characteristic can be regarded as the fingerprint map of SARS-CoV for diagnostic usage. Moreover, the conclusion has been further supported in a real case in Guangdong province of China. The fingerprint map proposed here has the merits of clear visibility and reliability that can serve as a complementary clinical tool for detecting SARS-CoV, particularly for the cases where the results obtained by the conventional methods are uncertain or conflicted with each other. |
format | Online Article Text |
id | pubmed-7127393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71273932020-04-08 A novel fingerprint map for detecting SARS-CoV Gao, Lei Ding, Yong-Sheng Dai, Hua Shao, Shi-Huang Huang, Zhen-De Chou, Kuo-Chen J Pharm Biomed Anal Short Communication Spike (S) protein is the most important membrane protein on the surface of severe acute respiratory syndrome coronavirus (SARS-CoV). It associates with cellular receptors to mediate infection of their target cells. Inspired by such a mechanism, an in-depth investigation into the genome sequences of S protein of SARS-CoV and its receptor are conducted thru a mathematical transformation and graphic approach. As an outcome, a novel method for visualizing the characteristic of SARS-CoV is suggested. An extensive comparison among a large number of genome sequences has proved that the characteristic thus revealed is unique for SARS-CoV. As such, the characteristic can be regarded as the fingerprint map of SARS-CoV for diagnostic usage. Moreover, the conclusion has been further supported in a real case in Guangdong province of China. The fingerprint map proposed here has the merits of clear visibility and reliability that can serve as a complementary clinical tool for detecting SARS-CoV, particularly for the cases where the results obtained by the conventional methods are uncertain or conflicted with each other. Elsevier B.V. 2006-04-11 2005-11-14 /pmc/articles/PMC7127393/ /pubmed/16289934 http://dx.doi.org/10.1016/j.jpba.2005.09.031 Text en Copyright © 2005 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Gao, Lei Ding, Yong-Sheng Dai, Hua Shao, Shi-Huang Huang, Zhen-De Chou, Kuo-Chen A novel fingerprint map for detecting SARS-CoV |
title | A novel fingerprint map for detecting SARS-CoV |
title_full | A novel fingerprint map for detecting SARS-CoV |
title_fullStr | A novel fingerprint map for detecting SARS-CoV |
title_full_unstemmed | A novel fingerprint map for detecting SARS-CoV |
title_short | A novel fingerprint map for detecting SARS-CoV |
title_sort | novel fingerprint map for detecting sars-cov |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127393/ https://www.ncbi.nlm.nih.gov/pubmed/16289934 http://dx.doi.org/10.1016/j.jpba.2005.09.031 |
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