{
  "id": 913763,
  "title": "TriTower-m6Am: a triple-tower heterogeneous deep learning architecture integrating semantic, sequential, and structural information for mRNA N6,2'-O-dimethyladenosine site prediction",
  "url": "https://urgent.news/2026/08/13/tritower-m6am-a-triple-tower-heterogeneous-deep-learning-architecture",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-13T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.13.744628v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Background: N6,2'-O-dimethyladenosine (m6Am) is a cap-proximal mRNA modification deposited by PCIF1 at the first transcribed nucleotide of eukaryotic mRNAs. Knowing where m6Am sites sit across the transcriptome would help explain how cells tune mRNA stability and translation, but current computational predictors typically depend on a single sequence representation and do not jointly model the…",
  "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."
}