{
  "id": 920575,
  "title": "Learning from human and chemical languages to predict biological function",
  "url": "https://urgent.news/2026/08/14/learning-from-human-and-chemical-languages-to-predict-biological",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-14T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.09.743788v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Understanding how molecular structure encodes biological function remains a grand challenge in drug discovery. Here, we present PubCheF-1, a deep learning model that predicts literature-derived biological function directly from chemical structure. PubCheF-1 was trained on a dataset linking molecules to labels derived from the scientific articles in which they appear, a strategy that connects…",
  "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."
}