{
  "abstract": "Antimicrobial resistance databases are central to genomic surveillance, but resistance determinants remain distributed across resources with different scopes, structures, and annotations. We developed PanRes, a curated resistance database of 11,717 genes integrating acquired and latent determinants of antibiotic, biocide, and metal resistance within a unified ontology. We predicted representative protein structures and clustered them by structural similarity, grouping proteins into 505 high-confidence structurally conserved clusters coherent despite sequence divergence. Their structure-guided alignments were used to build Hidden Markov Models (HMMs) for remote homology search. In seven wastewater metagenomes from five European cities, PanRes 3D-based HMMs expanded detection beyond what was possible with BLAST, with 35.3% of retained hits identified only by the HMMs and generally showing greater divergence from known proteins. For beta-lactamases, several proteins retained beta-lactamase-like folds and catalytic geometry despite weak sequence similarity. PanRes is available through an interactive web platform (https://panres.rambio.dk/), a structure-informed resource for exploring the whole resistome.",
  "abstract_shown": true,
  "affiliations": [
    "Techincal University of Denmark"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 11,
  "authors": [
    {
      "name": "M. Vojtkova"
    },
    {
      "name": "M. Baltusis"
    },
    {
      "name": "H.-M. Martiny"
    },
    {
      "name": "A. Baral"
    },
    {
      "name": "N. Pyrounakis"
    },
    {
      "name": "A. Beleon"
    },
    {
      "name": "R. Freitag"
    },
    {
      "name": "A. Pico-Tomas"
    },
    {
      "name": "R. S. Kaas"
    },
    {
      "name": "T. N. Petersen"
    },
    {
      "affs": [
        0
      ],
      "name": "P. Munk"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/arsgw2203s65g.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.06.22.733705",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.06.22.733705v2.full",
  "id": "arsgw2203s65g",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.06.22.733705v2",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1313|Antibiotic Resistance in Bacteria"
    ]
  ],
  "openalex": "W7165668874",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.06.22.733705v2.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/arsgw2203s65g.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:26:12Z",
      "native_id": "10.64898/2026.06.22.733705",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.06.22.733705v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "PanRes: A database of latent and acquired antimicrobial resistance allowing 3D-based protein homology search",
  "title_text": "PanRes: A database of latent and acquired antimicrobial resistance allowing 3D-based protein homology search",
  "type": "preprint",
  "updated_at": "2026-10-30T12:26:12Z",
  "url": "https://research.draconitic.com/paper/arsgw2203s65g",
  "venue": "bioRxiv",
  "versions": []
}