{
  "id": 16801337,
  "title": "GLOM TGITO: multiscale protein modelling and multiview landscape-guided sequence discovery",
  "url": "https://urgent.news/2026/10/27/glom-tgito-multiscale-protein-modelling-and-multiview-landscape",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-27T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.22.760886v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Motivation: Offline protein design can exploit surrogate-predictor errors, favouring high-scoring sequences lacking measured support. We test whether multiscale representations and local experimental evidence improve prediction and candidate prioritization. Results: GLOM-TGITO links a global-local fluorescence predictor to multiview landscape-guided optimization. Across 31,434 measured ppluGFP2…",
  "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."
}