{
  "id": 14810226,
  "title": "NoiTox: A Machine Learning Strategy for Peptide Toxicity Prediction Reveals Label Noise in Benchmark Datasets",
  "url": "https://urgent.news/2026/10/15/noitox-a-machine-learning-strategy-for-peptide-toxicity-prediction",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-15T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.08.757741v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Motivation: Peptide toxicity remains a major bottleneck in drug development, as small sequence variations can drastically alter cytotoxic profiles. Experimental assessment is costly and time-consuming, motivating computational predictors. Existing approaches often rely on single black-box architectures, limiting interpretability and obscuring the contribution of individual sequence features.…",
  "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."
}