{
  "id": 961390,
  "title": "Protein language models and the long tail of functional diversity",
  "url": "https://urgent.news/2026/08/14/protein-language-models-and-the-long-tail-of-functional-diversity",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-14T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.14.744703v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Protein language model performance on downstream tasks depends on the pretraining data, motivating recent efforts to combine genomic- and metagenomic-derived protein sequences into large-scale atlases. Because these datasets are highly redundant, sequences are typically clustered by similarity and sampled during training. Sequences that do not belong to any cluster, known as ``singletons'', are…",
  "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."
}