Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2.
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| Title: | Whole-genome prediction of bacterial pathogenic capacity on novel bacteria using protein language models with PathogenFinder2. |
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| Authors: | Ferrer Florensa A; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, 2800, Denmark., Almagro Armenteros JJ; Informatics and Predictive Sciences Research, Bristol Myers Squibb Company, Sevilla, 41092, Spain., Kaas RS; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, 2800, Denmark., Clausen PTLC; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, 2800, Denmark., Nielsen H; Bioinformatics, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, 2800, Denmark., Rost B; Rostlab, Department of Bioinformatics and Computational Biology, Technical University of Munich, Munich, 85748, Germany., Aarestrup FM; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, 2800, Denmark. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 May 03; Vol. 42 (5). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btag129 |
