Back to search

Article

Integration of Bioinformatics and Machine Learning to characterize <i>Fusobacterium nucleatum</i> ’s pathogenicity

2025-08-21

Abstract excerpt

Fusobacterium nucleatum has been found to be associated with cancer lesions in both oral and colon cancers. Although important studies have dissected the clinical aspects of its remarkable pathogenicity, there is a lack of molecular studies. This study aimed to computationally predict potential pathogenicity islands in F. nucleatum ATCC 25586, with candidate functional relation-ships among PAI-encoded proteins, a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f232c4fe-f20a-5264-97ae-abe6192f9855
DOI
10.1101/2025.08.21.671586
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integration of Bioinformatics and Machine Learning to characterize <i>Fusobacterium nucleatum</i> ’s pathogenicityDOI 10.1101/2025.08.21.671586
Reevaluating the <i>Fusobacterium</i> Virulence Factor LandscapeSemantic proximity
PathoFact 2.0: An Integrative Pipeline for Predicting Antimicrobial Resistance Genes, Virulence Factors, Toxins and Biosynthetic Gene Clusters in MetagenomesSemantic proximity
Transcriptional Regulator, Metabolic, and Pilus Biosynthesis Genes as Candidate Virulence Markers in High-Virulence <i>Mycobacterium abscessus</i>Semantic proximity
Commensal or pathogen: computationally vectorizing microbial genomes for <i>de novo</i> risk assessment and virulence feature discovery in <i>Klebsiella pneumoniae</i>Semantic proximity
<i>Fusobacterium</i> genomics using MinION and Illumina sequencing enables genome completion and correctionSemantic proximity
PathoFact: A pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic dataSemantic proximity
Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.Semantic proximity
Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential.Semantic proximity
New genetic tools enable dissection of a global stress response in the early-branching species <i>Fusobacterium nucleatum</i>Semantic proximity
Characterization of Clinical <i>Fusobacterium nucleatum</i> Isolates from Oral Squamous Cell Carcinoma PatientsSemantic proximity
Plasmidome-Driven Potential Pathogenic Adaptation in Helicobacter pylori and Identification of a Novel Putative Toxin--Antitoxin SystemSemantic proximity
Multi-omics approach identifies novel pathogen-derived prognostic biomarkers in patients with <i>Pseudomonas aeruginosa</i> bloodstream infectionSemantic proximity
Select a neighboring publication to make it the new centre.