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Publication : briefings in bioinformatics
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Academic Journal

EP3: an ensemble predictor that accurately identifies type III secreted effectors.

Subjects: Computational Biology/Computational Biology/Computational Biology/*methods ; Gram-Negative Bacteria/Gram-Negative Bacteria/Gram-Negative Bacteria/*metabolism ; Type III Secretion Systems/Type III Secretion Systems/Type III Secretion Systems/*metabolism

  • Source: Briefings in bioinformatics [Brief Bioinform] 2021 Mar 22; Vol. 22 (2), pp. 1918-1928.Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A computational approach to developing a multi-epitope vaccine for combating Pseudomonas aeruginosa–induced pneumonia and sepsis.

Subjects: NOSOCOMIAL infections; VACCINE development; PSEUDOMONAS aeruginosa

  • Source: Briefings in Bioinformatics; Sep2024, Vol. 25 Issue 5, p1-14, 14p

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Academic Journal

Machine learning for phytopathology: from the molecular scale towards the network scale.

Subjects: MACHINE learning; PLANT-pathogen relationships; NUCLEOTIDE sequencing

  • Source: Briefings in Bioinformatics; Sep2021, Vol. 22 Issue 5, p1-12, 12p

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In silico prediction of host–pathogen protein interactions in melioidosis pathogen Burkholderia pseudomallei and human reveals novel virulence factors and their targets.

Subjects: BURKHOLDERIA pseudomallei; PROTEIN-protein interactions; MELIOIDOSIS

  • Source: Briefings in Bioinformatics; May2021, Vol. 22 Issue 3, p1-18, 18p

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Phylogenetic profiling, an untapped resource for the prediction of secreted proteins and its complementation with sequence-based classifiers in bacterial type III, IV and VI secretion systems.

Subjects: SECRETION; PROTEINS; PATHOGENIC bacteria

  • Source: Briefings in Bioinformatics; Jul2019, p1395-1402, 8p

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Academic Journal

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.

Subjects: SECRETION; MACHINE learning; K-nearest neighbor classification

  • Source: Briefings in Bioinformatics; May2019, Vol. 20 Issue 3, p931-951, 21p

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Academic Journal

account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Subjects: SECRETION; MICROBIAL virulence; MACHINE learning

  • Source: Briefings in Bioinformatics; Jan2019, Vol. 20 Issue 1, p110-129, 20p

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Academic Journal

VRprofile: gene-cluster-detection-based profiling of virulence and antibiotic resistance traits encoded within genome sequences of pathogenic bacteria.

Subjects: PATHOGENIC microorganisms; MICROORGANISMS; NUCLEOTIDE sequencing

  • Source: Briefings in Bioinformatics; Jul2018, Vol. 19 Issue 4, p566-574, 9p

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Academic Journal

MTGIpick allows robust identification of genomic islands from a single genome.

Subjects: BIOINFORMATICS; GENOMICS; MOLECULAR biology

  • Source: Briefings in Bioinformatics; May2018, Vol. 19 Issue 3, p361-373, 13p

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Academic Journal

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.

Subjects: BACTERIAL secretions; FEATURE selection; MACHINE learning

  • Source: Briefings in Bioinformatics; Jan2018, Vol. 19 Issue 1, p148-161, 14p

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  • 1-10 of  10 results for ""Type III Secretion Systems""