PAT
PAT catalogs experimentally validated antimicrobial toxins produced by prokaryotes and their associated immunity proteins, delivery mechanisms, sequences, and structural characteristics to support research on microbial interactions, ecology, and pathogenicity.
Key Features:
- Comprehensive Data Collection: Aggregates literature-derived, experimentally validated data on antimicrobial toxins, including immunity proteins, delivery mechanisms, toxin activities, structural characteristics, and sequences.
- Predictive Capabilities: Employs predictive algorithms to identify potential antimicrobial toxins within prokaryotic reference genomes and genomic sequences.
- Taxonomic and Environmental Insights: Provides taxonomic assignments and environmental distribution data for antimicrobial toxins to inform ecological and evolutionary analyses.
Scientific Applications:
- Functional and Mechanistic Studies: Supports investigation of toxin activities, delivery mechanisms, and corresponding immunity proteins.
- Novel Toxin Discovery and Prioritization: Enables identification and prioritization of candidate antimicrobial toxins from prokaryotic genomes using predictive analyses.
- Ecological and Evolutionary Analyses: Facilitates study of taxonomic distribution and environmental occurrence to infer ecological roles and evolutionary patterns.
- Pathogenesis Research: Informs studies on how antimicrobial toxins influence bacterial pathogenicity and interspecific or intraspecific interactions.
Methodology:
Entries are compiled from literature-curated, experimentally validated records, and predictive algorithms are applied to prokaryotic reference genomes and genomic sequences to identify candidate antimicrobial toxins.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 12/22/2022
- Last Updated:
- 12/22/2022
Operations
Publications
Liu Y, Liu S, Pan Z, Ren Y, Jiang Y, Wang F, Li D, Li Y, Zhang Z. PAT: a comprehensive database of prokaryotic antimicrobial toxins. Nucleic Acids Research. 2022;51(D1):D452-D459. doi:10.1093/nar/gkac879. PMID:36243963. PMCID:PMC9825508.