Virulence |
Virulence Factors Database (VFDB) with VFanalyzer |
http://www.mgc.ac.cn/VFs/
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Global virulence |
Comprehensive collection of bacterial virulence factors with linkage to published studies (Liu et al., 2019a)
VFanalyzer web-based automatic analysis pipeline screening tool for complete/draft genomes
1112 virulence factors for 74 pathogens; 3663 curated VF-related genes
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Pathogen-host Interactions (PHI- base) with PHIB-BLAST |
http://www.phi-base.org/
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Global virulence interactions |
Curated broad gene functions by high-level phenotypic outcome terms affecting virulence in plant, human, animal, and insect hosts (Urban et al., 2020)
Covers Fungal, protist, bacterial pathogens
6780 genes, 13801 interactions, 268 pathogens, 210 hosts
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Pathosystems Resource Integration Center (PATRIC) VF module |
https://www.patricbrc.org/
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Curated priority pathogens |
Highly curated library from priority pathogens with linkage and support from published evidence
Includes global VFDB and Victor datasets for virulence and ARDB and CARD for resistance
Leverages robust integration with PATRIC analytical infrastructure for comparative -omics, pathways, host/disease repertoire (Mao et al.., 2015; Wattam et al., 2014)
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Mobilization Targets
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VRprofile |
https://bioinfo-mml.sjtu.edu.cn/VRprofile/
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Contextual virulence |
Virulence and antibiotic resistance in contextual relationship with transfer-related gene clusters, mobilome (Li et al., 2018)
Virulence pipeline powered by VFDB and Victor and with backend broad mobilome database sourcing
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Pathogenicity Island Database (PAIDB) version 2.0 |
http://www.paidb.re.kr
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Horizontal gene transfer regions |
Comprehensive database on all reported pathogenicity islands (PAIs) and candidate PAIs in prokaryotic genomes (Yoon et al., 2015)
Functionality extended to include resistance islands (REIs)
223 PAIs, 88 REIs from 2673 prokaryotic genomes
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ICEberg 2.0 |
https://db-mml.sjtu.edu.cn/ICEberg2/
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Integrative and conjugative elements |
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PHAge Search Tool Enhanced Release (PHASTER) |
https://phaster.ca/
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Prophages |
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INTEGRALL |
http://integrall.bio.ua.pt/
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Integrons |
Public genetic repository for interactive access to integration DNA sequences, molecular arrangements, and genetic contexts (Moura et al., 2009)
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IS finder |
https://isfinder.biotoul.fr/
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Insertion sequences |
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Antibiotic Resistance
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Antibiotic Resistance Genes Database (ARDB) |
http://ardb.cbcb.umd.edu/
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Global resistance |
Manually curated AR gene subtype and ontologies (Liu and Pop, 2009)
Tool for common mutations conferring resistance
Last update in 2009 and does not contain recently discovered genes (i. e. blaNDM-1, mcr-1; Arango-Argoty et al., 2018)
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Comprehensive Antibiotic Resistance Database (CARD) |
https://card.mcmaster.ca/
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Global resistance |
High quality, curated reference database and molecular resource, detection models, and bioinformatics tools (Alcock et al., 2020)
Updated monthly and considered to be comprehensive resource
Organized by gene ontology, homology and variant detection, and genome analysis with Resistance Gene Identifier (RGI) tool for genomic and metagenomic data
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ResFinder and Pointfinder |
https://cge.food.dtu.dk/services/ResFinder/
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Resistance genotype-to-phenotype |
Identification of resistance genes acquired horizontally through Center for Genomic Epidemiology database
Flexible thresholds for raw sequencing read analysis
Detection of chromosomal mutations mediating resistance through Pointfinder
Combined tools intended to facilitate genome sequencing-based anti-biograms prediction (Bortolaia et al., 2020)
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Antibiotic Resistance Gene Annotation (ARG-ANNOT) |
https://www.mediterranee-infection.com/acces-ressources/base-de-donnees/arg-annot-2/
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Global resistance bioinformatic tool |
Recursive database for download and simple/rapid local use (Gupta et al., 2014)
Detection of resistance genes with relaxed search criteria detection of putative new resistance genes
Some level of point mutation-based resistance detection possible although not automatic
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Resfams |
http://www.dantaslab.org/resfams
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Resistance prediction and annotation |
Curated database of protein families and associated profile hidden Markov models (HMMs)
Confirmed for antibiotic resistance function and organized by ontology (Gibson et al., 2015)
Powered by CARD and specialty β-lactamase databases
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