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Viral Phrenology

We introduce Viral Phrenology, a new scheme for understanding the genomic composition of spherical viruses based on the locations of their structural protrusions. We used icosahedral point arrays to classify 135 distinct viral capsids collected from over 600 capsids available in the VIPERdb. Using g...

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Detalles Bibliográficos
Autores principales: Wilson, David P., Roof, Danielle A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618131/
https://www.ncbi.nlm.nih.gov/pubmed/34834999
http://dx.doi.org/10.3390/v13112191
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author Wilson, David P.
Roof, Danielle A.
author_facet Wilson, David P.
Roof, Danielle A.
author_sort Wilson, David P.
collection PubMed
description We introduce Viral Phrenology, a new scheme for understanding the genomic composition of spherical viruses based on the locations of their structural protrusions. We used icosahedral point arrays to classify 135 distinct viral capsids collected from over 600 capsids available in the VIPERdb. Using gauge points of point arrays, we found 149 unique structural protrusions. We then show how to use the locations of these protrusions to determine the genetic composition of the virus. We then show that ssDNA, dsDNA, dsRNA and ssRNA viruses use different arrangements for distributing their protrusions. We also found that Triangulation number is also partially dependent on the structural protrusions. This analysis begins to tie together Baltimore Classification and Triangulation number using point arrays.
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spelling pubmed-86181312021-11-27 Viral Phrenology Wilson, David P. Roof, Danielle A. Viruses Article We introduce Viral Phrenology, a new scheme for understanding the genomic composition of spherical viruses based on the locations of their structural protrusions. We used icosahedral point arrays to classify 135 distinct viral capsids collected from over 600 capsids available in the VIPERdb. Using gauge points of point arrays, we found 149 unique structural protrusions. We then show how to use the locations of these protrusions to determine the genetic composition of the virus. We then show that ssDNA, dsDNA, dsRNA and ssRNA viruses use different arrangements for distributing their protrusions. We also found that Triangulation number is also partially dependent on the structural protrusions. This analysis begins to tie together Baltimore Classification and Triangulation number using point arrays. MDPI 2021-10-30 /pmc/articles/PMC8618131/ /pubmed/34834999 http://dx.doi.org/10.3390/v13112191 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wilson, David P.
Roof, Danielle A.
Viral Phrenology
title Viral Phrenology
title_full Viral Phrenology
title_fullStr Viral Phrenology
title_full_unstemmed Viral Phrenology
title_short Viral Phrenology
title_sort viral phrenology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618131/
https://www.ncbi.nlm.nih.gov/pubmed/34834999
http://dx.doi.org/10.3390/v13112191
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