{
  "id": 16904122,
  "title": "Iterative Refinement for Structural Optimization of De Novo Protein Sequences",
  "url": "https://urgent.news/2026/10/28/iterative-refinement-for-structural-optimization-of-de-novo-protein",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-28T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.27.762198v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "In this paper, we introduce an iterative refinement procedure that substitutes individual amino acid residues in a predicted protein sequence to minimize structural error; substitutions are guided by a weighted composite score of global evaluation metrics including the TM-score, GDT-TS, and RMSD. Starting from an initial sequence prediction produced by a structure-aware graph neural network (GNN)…",
  "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."
}