{
  "id": 2311597,
  "title": "Unsupervised detection of antimicrobial-resistance determinants by coupling protein-language-models and evolutionary signatures",
  "url": "https://urgent.news/2026/08/20/unsupervised-detection-of-antimicrobial-resistance-determinants-by",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-20T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.17.745273v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Antimicrobial resistance (AMR) is among the most pressing threats to global health, yet our ability to find resistance determinants is largely confined to what reference databases already contain: homology search and supervised classifiers recognize variants of known genes but are, by construction, blind to the larger environmental and clinical reservoir of determinants that have not yet been…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}