AIMC Topic: Bacterial Secretion Systems

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Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

Molecular plant pathology Aug 15, 2015
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot disease in pepper and tomato. Xcv pathogenicity depends on a type III secretion (T3S) system that delivers effector proteins into host cells to suppress...
Machine Learning Phylogeny Plant Leaves Bacterial Proteins Mutation Plant Diseases Protein Transport Xanthomonas Capsicum Nicotiana Bacterial Secretion Systems Base Composition Plant Cells
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Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.

Briefings in bioinformatics May 21, 2019
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors, namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria, including context-dependent human pathogens, use a type IV secretion syste...
Machine Learning Algorithms Support Vector Machine Bayes Theorem Bacterial Proteins Bacterial Secretion Systems
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An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Briefings in bioinformatics Jan 18, 2019
Bacterial pathogens secrete numerous effector proteins via six secretion systems, type I to type VI secretion systems, to adapt to new environments or to promote virulence by bacterium-host interactions. Many computational approaches have been used i...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Computer Simulation Computational Biology Support Vector Machine Bayes Theorem Bacterial Proteins Models, Biological Virulence Markov Chains Bacterial Secretion Systems Host Microbial Interactions
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