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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8618131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wilsondavidp viralphrenology AT roofdaniellea viralphrenology |