AIMC Topic: Virulence

Clear Filters Showing 21 to 29 of 29 articles

Revealing the inventory of type III effectors in Pantoea agglomerans gall-forming pathovars using draft genome sequences and a machine-learning approach.

Molecular plant pathology Feb 16, 2017
Pantoea agglomerans, a widespread epiphytic bacterium, has evolved into a hypersensitive response and pathogenicity (hrp)-dependent and host-specific gall-forming pathogen by the acquisition of a pathogenicity plasmid containing a type III secretion ...
DNA Mutational Analysis Pantoea Plant Tumors Bacterial Proteins Virulence Machine Learning
View on PubMed DOI

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Microbial pathogenesis Aug 1, 2025
Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising virulence and antibiotic resistance. As one of the leading members of ESKAPE pathogens, it plays a major role in a wide range of infections that cause ...
Drug Resistance, Multiple, Bacterial Klebsiella pneumoniae Klebsiella Infections Computer Simulation Drug Discovery Anti-Bacterial Agents Humans Bacterial Vaccines beta-Lactamases Virulence Factors Drug Resistance, Bacterial Immune Evasion Virulence
View on PubMed DOI

Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

Bioinformatics (Oxford, England) May 4, 2023
MOTIVATION: Missense variants are a frequent class of variation within the coding genome, and some of them cause Mendelian diseases. Despite advances in computational prediction, classifying missense variants into pathogenic or benign remains a major...
Virulence Mutation, Missense Computational Biology Mutation Humans Artificial Intelligence
View on PubMed DOI

SVPath: an accurate pipeline for predicting the pathogenicity of human exon structural variants.

Briefings in bioinformatics Mar 10, 2022
Although there are a large number of structural variations in the chromosomes of each individual, there is a lack of more accurate methods for identifying clinical pathogenic variants. Here, we proposed SVPath, a machine learning-based method to pred...
Humans Virulence Molecular Sequence Annotation Exons Machine Learning Polymorphism, Single Nucleotide
View on PubMed DOI

Pathogenic potential assessment of the Shiga toxin-producing by a source attribution-considered machine learning model.

Proceedings of the National Academy of Sciences of the United States of America May 18, 2021
Instead of conventional serotyping and virulence gene combination methods, methods have been developed to evaluate the pathogenic potential of newly emerging pathogens. Among them, the machine learning (ML)-based method using whole-genome sequencing ...
Escherichia coli Proteins Shiga Toxin 2 Virulence Shiga-Toxigenic Escherichia coli Reproducibility of Results ROC Curve Escherichia coli Infections Whole Genome Sequencing Support Vector Machine Humans Machine Learning
View on PubMed DOI

Predicting the pathogenicity of protein coding mutations using Natural Language Processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
DNA-Sequencing of tumor cells has revealed thousands of genetic mutations. However, cancer is caused by only some of them. Identifying mutations that contribute to tumor growth from neutral ones is extremely challenging and is currently carried out m...
Mutation Virulence Proteins Natural Language Processing Machine Learning
View on PubMed DOI

BacPaCS-Bacterial Pathogenicity Classification via Sparse-SVM.

Bioinformatics (Oxford, England) Jun 1, 2019
MOTIVATION: Bacterial infections are a major cause of illness worldwide. However, most bacterial strains pose no threat to human health and may even be beneficial. Thus, developing powerful diagnostic bioinformatic tools that differentiate pathogenic...
Machine Learning Support Vector Machine Bacteria Humans Virulence Proteome
View on PubMed DOI

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...
Bacterial Proteins Models, Biological Markov Chains Bacterial Secretion Systems Virulence Support Vector Machine Machine Learning Bayes Theorem Computer Simulation Algorithms Computational Biology Databases, Factual Humans Neural Networks, Computer Host Microbial Interactions
View on PubMed DOI

[Bovine lactoferrin decreases the invasion of Salmonella enterica to HEp-2 cells].

Revista de gastroenterologia del Peru : organo oficial de la Sociedad de Gastroenterologia del Peru Jan 1, 2016
OBJECTIVE: To assess the effect of bovine lactoferrin (bLf) on the invasion of Salmonella enterica ser. Typhimurium to HEp-2 cells.
Dose-Response Relationship, Drug Salmonella typhimurium Lactoferrin Virulence Humans Cell Line, Tumor Animals Cattle
View on PubMed
Popular Topics
Recent Journals