{
  "id": 11092688,
  "title": "Repurposing PeTriBERT for Protein Protein Interaction Prediction with Sequence Structure Fusion",
  "url": "https://urgent.news/2026/09/30/repurposing-petribert-for-protein-protein-interaction-prediction-with",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.29.755338v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recent advances in artificial intelligence have enabled models to capture protein sequence and structural features. We present PeTriPPI2, a hybrid framework for protein--protein interaction (PPI) prediction that combines sequence embeddings from ESM-2 with structural representations from PeTriBERT, an encoder originally designed for inverse folding. We evaluate this sequence--structure approach…",
  "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."
}