{
  "id": 9423908,
  "title": "NoroScope: Exploring the Mutational Landscape of the Human Norovirus Capsid Protein with Context-Aware Machine Learning",
  "url": "https://urgent.news/2026/09/23/noroscope-exploring-the-mutational-landscape-of-the-human-norovirus",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.17.752373v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Anticipating the effects of mutations in viral proteins is important for the development of therapeutics and control strategies but remains challenging as mutation phenotypes are shaped by complex overlapping sequence, structural and evolutionary constraints. Machine-learning approaches to mutation-effect prediction have shown considerable success for viruses with exceptionally rich training…",
  "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."
}