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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MDPI AG
2021
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oai:doaj.org-article:f27fa9b895c948639c06933902b4ca7d2021-11-25T19:13:13ZViral Phrenology10.3390/v131121911999-4915https://doaj.org/article/f27fa9b895c948639c06933902b4ca7d2021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4915/13/11/2191https://doaj.org/toc/1999-4915We 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.David P. WilsonDanielle A. RoofMDPI AGarticleBaltimore Classificationvirus genomeTriangulation numberprotruding featuresspherical viruspoint arraysMicrobiologyQR1-502ENViruses, Vol 13, Iss 2191, p 2191 (2021) |
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DOAJ |
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Baltimore Classification virus genome Triangulation number protruding features spherical virus point arrays Microbiology QR1-502 |
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Baltimore Classification virus genome Triangulation number protruding features spherical virus point arrays Microbiology QR1-502 David P. Wilson Danielle A. Roof Viral Phrenology |
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 |
article |
author |
David P. Wilson Danielle A. Roof |
author_facet |
David P. Wilson Danielle A. Roof |
author_sort |
David P. Wilson |
title |
Viral Phrenology |
title_short |
Viral Phrenology |
title_full |
Viral Phrenology |
title_fullStr |
Viral Phrenology |
title_full_unstemmed |
Viral Phrenology |
title_sort |
viral phrenology |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f27fa9b895c948639c06933902b4ca7d |
work_keys_str_mv |
AT davidpwilson viralphrenology AT daniellearoof viralphrenology |
_version_ |
1718410190913536000 |