{
  "id": 4226530,
  "title": "RPDynaFlow: Generating RNA-Protein Conformational Ensembles by Atomic Conditional Flow Matching",
  "url": "https://urgent.news/2026/08/28/rpdynaflow-generating-rna-protein-conformational-ensembles-by-atomic",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-28T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.28.747734v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Conformation ensembles of biomolecules provide the basis for understanding structural transformations and drug design. Deep-learning generative models have advanced protein and small molecule ensemble generation, while RNA-Protein complexes remain unaddressed due to the chemical heterogeneity, limited dataset size and the different flexibility scales of RNA and protein components. We present…",
  "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."
}