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Viral Representative Proteomes:
Computational Clustering of UniProtKB Virus Proteomes
Release 2024_04, July 24, 2024
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Viral Representative Proteomes (Viral RPs) are computed from UniProtKB virus complete proteomes. For each pair of proteomes, we calculate their co-membership in UniRef50 clusters. We then hierarchically cluster the similar proteomes into a set of Representative Proteome Groups (RPGs) based on their co-memberships at the cutoff levels of 95%, 75%, 55%, 35% and 15%. The proteomes in each RPG are ranked using a Proteome Priority Score to facilitate the selection of a top ranked proteome as the representative from the group. We also use taxonomic group and host information to annotate the viral proteomes in each RPG. Viral RPs can be used to improve proteome annotation, protein classification, and taxonomic nomenclature bias detection in the viral proteome community.
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 Release Statistics
BLAST sequence search
Browse Viral RPs
Download Viral RPs files
* All sequence files have been filtered to contain one-protein-per-gene.
Make your own RP sequence file
There are two ways to make your own RP sequence file with respect to taxonomic group and cut-off level:
Using a script:
Please click here to get a Perl script and click here to get the configuration file. You can modify the configuration file according to your need and run the script from your machine.
Download the RPs files by Virus taxonomic group and co-membership cutoff below:
Get one file from each row and then put them together to form your RP sequence file.
| Virus Taxonomic Group |
95% |
75% |
55% |
35% |
15% |
| unclassified DNA viruses |
x |
x |
x |
x |
x |
| unclassified archaeal viruses |
x |
x |
x |
x |
x |
| unclassified bacterial viruses |
x |
x |
x |
x |
x |
| unclassified viruses |
x |
x |
x |
x |
x |
| Satellites |
x |
x |
x |
x |
x |
| Other viruses |
x |
x |
x |
x |
x |
| environmental samples |
x |
x |
x |
x |
x |
Note:
The Viral RPGs do not include the polyproteomes. To download the RPGs that include polyproteomes, please click here.
Publication
Chen C, Huang H, Mazumder R, Natale DA, McGarvey PB, Zhang J, Polson SW, Wang Y, Wu CH; UniProt Consortium. Computational clustering for viral reference proteomes. Bioinformatics. 2016 Jul 1;32(13):2041-3. doi: 10.1093/bioinformatics/btw110. Epub 2016 Feb 26.
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