{
  "abstract": "Defining biologically grounded validation standards for deep learning-based post-translational modification (PTM) prediction: The CLASPP framework combines unsupervised sequence-space stratification with supervised contrastive learning in protein language model embedding space to predict 12 PTM types from a single model. Training and experimental validation were performed in humans, while out-of-distribution testing spanned diverse model organisms across the evolutionary tree shown. The model’s utility in phosphoproteomics workflows is demonstrated through the annotation of ubiquitination sites in the understudied DCLK3 kinase. By integrating evolutionary breadth, experimental validation, and behavioral testing, CLASPP establishes a framework for rigorous benchmarking of next-generation multi-PTM prediction models (Gravel et al., 2026).",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Issue Image",
  "arxiv": null,
  "author_total": 0,
  "authors": [],
  "bibtex": "https://research.draconitic.com/paper/deaca5t7rh1gr.bib",
  "cited_by": 0,
  "doi": "10.1371/image.pcbi.v22.i08",
  "fulltext_url": null,
  "id": "deaca5t7rh1gr",
  "issns": [
    "1553-7358"
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  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "plos",
      "/Biology and life sciences/Biochemistry/Proteins/Post-translational modification"
    ],
    [
      "plos",
      "/Biology and life sciences/Biochemistry/Proteins/Post-translational modification/Ubiquitination"
    ],
    [
      "plos",
      "/Biology and life sciences/Evolutionary biology/Organismal evolution"
    ],
    [
      "plos",
      "/Biology and life sciences/Neuroscience/Cognitive science/Cognitive psychology/Language"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Cognitive psychology/Language"
    ],
    [
      "plos",
      "/Physical sciences/Mathematics/Statistics/Statistical methods/Forecasting"
    ],
    [
      "plos",
      "/Research and analysis methods/Animal studies/Experimental organism systems/Model organisms"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Statistical methods/Forecasting"
    ],
    [
      "plos",
      "/Research and analysis methods/Model organisms"
    ],
    [
      "plos",
      "/Social sciences/Linguistics/Language acquisition"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Cognitive psychology/Language"
    ]
  ],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-21",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/deaca5t7rh1gr.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:43Z",
      "native_id": "10.1371/image.pcbi.v22.i08",
      "source": "plos",
      "url": "https://doi.org/10.1371/image.pcbi.v22.i08"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:evolutionary biology",
      "subfield": "evolutionary-biology"
    },
    {
      "field": "biology",
      "origin": "plos:neuroscience",
      "subfield": "neuroscience"
    },
    {
      "field": "mathematics",
      "origin": "plos:statistical methods",
      "subfield": "statistics"
    }
  ],
  "title": "PLoS Computational Biology Issue Image | Vol. 22(8) September 2026",
  "title_text": "PLoS Computational Biology Issue Image | Vol. 22(8) September 2026",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:43Z",
  "url": "https://research.draconitic.com/paper/deaca5t7rh1gr",
  "venue": "PLoS Computational Biology",
  "versions": []
}