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PathFams: statistical detection of pathogen-associated protein domains.

Authors :
Lobb B
Tremblay BJ
Moreno-Hagelsieb G
Doxey AC
Source :
BMC genomics [BMC Genomics] 2021 Sep 14; Vol. 22 (1), pp. 663. Date of Electronic Publication: 2021 Sep 14.
Publication Year :
2021

Abstract

Background: A substantial fraction of genes identified within bacterial genomes encode proteins of unknown function. Identifying which of these proteins represent potential virulence factors, and mapping their key virulence determinants, is a challenging but important goal.<br />Results: To facilitate virulence factor discovery, we performed a comprehensive analysis of 17,929 protein domain families within the Pfam database, and scored them based on their overrepresentation in pathogenic versus non-pathogenic species, taxonomic distribution, relative abundance in metagenomic datasets, and other factors.<br />Conclusions: We identify pathogen-associated domain families, candidate virulence factors in the human gut, and eukaryotic-like mimicry domains with likely roles in virulence. Furthermore, we provide an interactive database called PathFams to allow users to explore pathogen-associated domains as well as identify pathogen-associated domains and domain architectures in user-uploaded sequences of interest. PathFams is freely available at https://pathfams.uwaterloo.ca .<br /> (© 2021. The Author(s).)

Details

Language :
English
ISSN :
1471-2164
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
BMC genomics
Publication Type :
Academic Journal
Accession number :
34521345
Full Text :
https://doi.org/10.1186/s12864-021-07982-8