{
  "abstract": "The rise of antibiotic resistance necessitates advanced tools to detect and analyze antibiotic resistance genes (ARGs). We present resLens, a family of genomic language models that leverage latent genomic representations to enhance ARG detection and analysis. Unlike alignment-based methods constrained by reference databases, resLens fine-tunes a pre-trained DNA language model on curated ARG datasets, achieving competitive or superior performance in classifying resistance genes across multiple evaluation scenarios, including when ARGs exhibit sequences and mechanisms of resistance dissimilar to those in reference datasets.",
  "abstract_shown": true,
  "affiliations": [
    "Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA",
    "Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA. rahnavard@gwu.edu"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Matthew Mollerus",
      "orcid": "0009-0001-6393-8739"
    },
    {
      "affs": [
        0
      ],
      "name": "Katharina Dittmar",
      "orcid": "0000-0002-0036-9583"
    },
    {
      "affs": [
        0
      ],
      "name": "Keith A. Crandall",
      "orcid": "0000-0002-0836-3389"
    },
    {
      "affs": [
        1
      ],
      "name": "Ali Rahnavard",
      "orcid": "0000-0002-9710-0248"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0kqsqqq96z5m3.bib",
  "cited_by": 6,
  "doi": "10.1038/s44259-026-00219-2",
  "fulltext_url": null,
  "id": "0kqsqqq96z5m3",
  "issns": [
    "2731-8745"
  ],
  "landing_url": "https://doi.org/10.1038/s44259-026-00219-2",
  "language": "en",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1313|Antibiotic Resistance in Bacteria"
    ]
  ],
  "openalex": "W7162015276",
  "pdf_url": "https://www.nature.com/articles/s44259-026-00219-2_reference.pdf",
  "pmcid": "PMC13529658",
  "pmid": "42168341",
  "published": "2026-05-21",
  "publisher": "Springer Science+Business Media",
  "ris": "https://research.draconitic.com/paper/0kqsqqq96z5m3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:48Z",
      "native_id": "W7162015276",
      "source": "openalex",
      "url": "https://doi.org/10.1038/s44259-026-00219-2"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:1313|Antibiotic Resistance in Bacteria",
      "subfield": "general"
    }
  ],
  "title": "resLens: genomic language models to enhance antibiotic resistance gene detection",
  "title_text": "resLens: genomic language models to enhance antibiotic resistance gene detection",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T13:20:30Z",
  "url": "https://research.draconitic.com/paper/0kqsqqq96z5m3",
  "venue": "npj Antimicrobials and Resistance",
  "versions": []
}