{
  "id": 7055886,
  "title": "Markov models of SHAPE data improve secondary structure prediction",
  "url": "https://urgent.news/2026/09/12/markov-models-of-shape-data-improve-secondary-structure-prediction",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-12T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.10.750790v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "RNA structure is a key determinant of RNA function and regulation. The coupling of chemical probing technologies, such as SHAPE, with deep sequencing has enabled large-scale experimental characterization of RNA structures in complex samples and under diverse conditions. Furthermore, probing data are often used to guide thermodynamics-based secondary structure prediction algorithms and have been…",
  "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."
}