Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2

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Journal
Bioinformatics
Published
2026-03-20
DOI
https://doi.org/10.1093/bioinformatics/btag129
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2

Frank M. Aarestrup, Henrik Nielsen, Philip T. L. C. Clausen, Jose Juan Almagro Armenteros et al.
Bioinformatics
Machine Learning in Bioinformatics
article

Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2

Frank M. Aarestrup, Henrik Nielsen, Philip T. L. C. Clausen, Jose Juan Almagro Armenteros, Rolf Sommer Kaas, Alfred Ferrer Florensa, Burkhard Rost
article en

Abstract

No abstract available for this paper.
Bioinformatics
Bristol-Myers Squibb (Germany) (DE), Technical University of Munich (DE), Technical University of Denmark (DK)
Openalex Percentile: Top 14%
Machine Learning in Bioinformatics
DOIOpen Access PDFOpenAlex
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