ArticlePloS one2015
T346Hunter: a novel web-based tool for the prediction of type III, type IV and type VI secretion systems in bacterial genomes.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 64 citations in OpenAlex.
- VirulentHunter: deep learning-based virulence factor predictor illuminates pathogenicity in diverse microbial contexts.Briefings in bioinformatics · 2025Article
- Multidrug resistance among uropathogenic clonal group A E. Coli isolates from Pakistani women with uncomplicated urinary tract infections.BMC microbiology · 2024Article
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- Influence of mobile genetic elements and insertion sequences in long- and short-term adaptive processes of Acidithiobacillus ferrooxidans strains.Scientific reports · 2023Article
- Immunity proteins of dual nuclease T6SS effectors function as transcriptional repressors.EMBO reports · 2021Article
- Computational prediction of secreted proteins in gram-negative bacteria.Computational and structural biotechnology journal · 2021Review
- Genome-wide Analysis of Four Enterobacter cloacae complex type strains: Insights into Virulence and Niche Adaptation.Scientific reports · 2020Article
- Comparative Genomic Analysis Confirms Five Genetic Populations of the Select Agent,Microorganisms · 2020Article
- Isolation, Characterization, and Complete Genome Sequence of aFrontiers in microbiology · 2020Article
- Host Range Determinants ofFrontiers in plant science · 2020Article
- Comparative genomics of Paraburkholderia kururiensis and its potential in bioremediation, biofertilization, and biocontrol of plant pathogens.MicrobiologyOpen · 2019Article
- Loss and Gain in the Evolution of themSphere · 2019Article
- Molecular epidemiological analysis and risk factors for acquisition of carbapenemase-producingAntimicrobial resistance and infection control · 2019Observational
- Whole-Genome Comparisons Among the GenusFrontiers in microbiology · 2019Article
- SLING: a tool to search for linked genes in bacterial datasets.Nucleic acids research · 2018Article
- oriTfinder: a web-based tool for the identification of origin of transfers in DNA sequences of bacterial mobile genetic elements.Nucleic acids research · 2018Article
- Review
- Spread of Plasmid-Encoded NDM-1 and GES-5 Carbapenemases among Extensively Drug-Resistant and Pandrug-Resistant Clinical Enterobacteriaceae in Durban, South Africa.Antimicrobial agents and chemotherapy · 2018Article
- Genome analysis of two novel Pseudomonas strains exhibiting differential hypersensitivity reactions on tobacco seedlings reveals differences in nonflagellar T3SS organization and predicted effector proteins.MicrobiologyOpen · 2018Article
- IndigenousFrontiers in microbiology · 2018Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
T346Hunter (Type Three, Four and Six secretion system Hunter) is a web-based tool for the identification and localisation of type III, type IV and type VI secretion systems (T3SS, T4SS and T6SS, respectively) clusters in bacterial genomes. Non-flagellar T3SS (NF-T3SS) and T6SS are complex molecular machines that deliver effector proteins from bacterial cells into the environment or into other eukaryotic or prokaryotic cells, with significant implications for pathogenesis of the strains encoding them. Meanwhile, T4SS is a more functionally diverse system, which is involved in not only effector translocation but also conjugation and DNA uptake/release. Development of control strategies against bacterial-mediated diseases requires genomic identification of the virulence arsenal of pathogenic bacteria, with T3SS, T4SS and T6SS being major determinants in this regard. Therefore, computational methods for systematic identification of these specialised machines are of particular interest. With the aim of facilitating this task, T346Hunter provides a user-friendly web-based tool for the prediction of T3SS, T4SS and T6SS clusters in newly sequenced bacterial genomes. After inspection of the available scientific literature, we constructed a database of hidden Markov model (HMM) protein profiles and sequences representing the various components of T3SS, T4SS and T6SS. T346Hunter performs searches of such a database against user-supplied bacterial sequences and localises enriched regions in any of these three types of secretion systems. Moreover, through the T346Hunter server, users can visualise the predicted clusters obtained for approximately 1700 bacterial chromosomes and plasmids. T346Hunter offers great help to researchers in advancing their understanding of the biological mechanisms in which these sophisticated molecular machines are involved. T346Hunter is freely available at http://bacterial-virulence-factors.cbgp.upm.es/T346Hunter.
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