{
  "abstract": "In mass-spectrometry-based proteomics it remains challenging to ensure the accuracy of protein quantities. Here we introduce QuantUMS (quantification using an uncertainty-minimizing solution), a machine learning-based method that dynamically tunes the quantification algorithm to minimize quantitative errors. When applied to data-independent acquisition proteomics, QuantUMS increases accuracy and precision, ameliorates ratio compression bias and enhances differential expression analysis. It further reports an uncertainty measure enabling quality control of individual quantities.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany",
    "Bioanalytics, Institute of Biotechnology, Technical University of Berlin, Berlin, Germany",
    "Si-M/\"Der Simulierte Mensch\", Technical University of Berlin and Charité - Universitätsmedizin Berlin, Berlin, Germany",
    "Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. vadim.demichev@gmail.com"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Justus L. Großmann",
      "orcid": "0009-0002-7094-1888"
    },
    {
      "affs": [
        0
      ],
      "name": "Franziska Kistner",
      "orcid": "0009-0009-8080-8643"
    },
    {
      "affs": [
        0
      ],
      "name": "Ludwig Roman Sinn",
      "orcid": "0000-0003-4692-0681"
    },
    {
      "affs": [
        0
      ],
      "name": "Łukasz Szyrwiel",
      "orcid": "0000-0003-1983-2950"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Juri Rappsilber",
      "orcid": "0000-0001-5999-1310"
    },
    {
      "affs": [
        3
      ],
      "name": "Vadim Petrovich Demichev",
      "orcid": "0000-0002-2424-9412"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/af377t4tq7efa.bib",
  "cited_by": 14,
  "doi": "10.1038/s41587-026-03131-2",
  "fulltext_url": null,
  "id": "af377t4tq7efa",
  "issns": [
    "0733-222X",
    "1087-0156",
    "1546-1696",
    "2331-3684"
  ],
  "landing_url": "https://doi.org/10.1038/s41587-026-03131-2",
  "language": "en",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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      "1607|Advanced Proteomics Techniques and Applications"
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  "openalex": "W7162542665",
  "pdf_url": null,
  "pmcid": null,
  "pmid": "42204360",
  "published": "2026-05-27",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/af377t4tq7efa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:44Z",
      "native_id": "W7162542665",
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      "url": "https://doi.org/10.1038/s41587-026-03131-2"
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  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:1607|Advanced Proteomics Techniques and Applications",
      "subfield": "physical"
    }
  ],
  "title": "Accurate quantification in proteomics with QuantUMS",
  "title_text": "Accurate quantification in proteomics with QuantUMS",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T13:20:46Z",
  "url": "https://research.draconitic.com/paper/af377t4tq7efa",
  "venue": "Nature Biotechnology",
  "versions": []
}