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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Main Authors: David P. Wilson, Danielle A. Roof
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/13/11/2191
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author David P. Wilson
Danielle A. Roof
author_facet David P. Wilson
Danielle A. Roof
author_sort David P. Wilson
collection DOAJ
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 doaj.art-f27fa9b895c948639c06933902b4ca7d2023-11-23T01:56:28ZengMDPI AGViruses1999-49152021-10-011311219110.3390/v13112191Viral PhrenologyDavid P. Wilson0Danielle A. Roof1Department of Physics, Kalamazoo College, Kalamazoo, MI 49006, USADepartment of Physics, Kalamazoo College, Kalamazoo, MI 49006, USAWe 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.https://www.mdpi.com/1999-4915/13/11/2191Baltimore Classificationvirus genomeTriangulation numberprotruding featuresspherical viruspoint arrays
spellingShingle David P. Wilson
Danielle A. Roof
Viral Phrenology
Viruses
Baltimore Classification
virus genome
Triangulation number
protruding features
spherical virus
point arrays
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 Baltimore Classification
virus genome
Triangulation number
protruding features
spherical virus
point arrays
url https://www.mdpi.com/1999-4915/13/11/2191
work_keys_str_mv AT davidpwilson viralphrenology
AT daniellearoof viralphrenology