{
  "id": 1501179,
  "title": "Learning protein function through autonomous experimental interaction",
  "url": "https://urgent.news/2026/08/17/learning-protein-function-through-autonomous-experimental-interaction",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-17T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.14.744985v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Biological AI learns primarily from existing observations, but many questions cannot be answered from available data alone. Here we show that AI can instead acquire knowledge by acting directly on biological systems and learning from the consequences. We developed a closed-loop framework in which autonomous agents design protein variants, construct and characterize them in a robotic laboratory,…",
  "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."
}