{
  "id": 19178702,
  "title": "Realism and resolution: How AI-predicted protein structures differ from experimental structures",
  "url": "https://urgent.news/2026/11/09/realism-and-resolution-how-ai-predicted-protein-structures-differ",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-09T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.06.764824v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Protein structure predictors can recover protein folds with remarkable accuracy, and their models are increasingly used as if they were experimental structures. Yet even for a confidently predicted fold, it remains difficult to judge how faithfully the model reproduces protein geometry. We introduce WhatRes, which assesses a structure from its coordinates on two complementary axes. Apparent…",
  "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."
}