{
  "id": 12656878,
  "title": "AntiCapt: Fine-Tuned Nucleotide Language Models for Predicting and Designing Anticancer Aptamers",
  "url": "https://urgent.news/2026/10/07/anticapt-fine-tuned-nucleotide-language-models-for-predicting-and",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-07T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.28.754914v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Over the past decade, aptamers have emerged as promising therapeutics, with cancer therapeutics as a major research area. Existing computational methods, however, either predict aptamer-target pairs or design aptamers against a specific target. In this study, we present AntiCapt, a computational method for identifying single-stranded DNA (ssDNA) anticancer aptamers (ACAs) using sequence…",
  "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."
}