{
  "id": 3631971,
  "title": "Tree-aware conditional language modeling recovers mutational patterns of viral evolution",
  "url": "https://urgent.news/2026/08/26/tree-aware-conditional-language-modeling-recovers-mutational-patterns",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-26T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.25.746971v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The evolutionary accessibility of a protein mutation depends on the sequence background in which it arises and its lineage history, yet most protein language models estimate sequence plausibility without explicitly considering the ordered sequence changes through which descendants arise. We developed evoPLM-Tree, a tree-aware conditional autoregressive language model that predicts descendant…",
  "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."
}