ArticleNucleic acids research2026
PaxDb v6.0: reprocessed, LLM-selected, curated protein abundance data across organisms.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Transitioning from Transcriptomics to Proteomics: Enhancing Mechanistic Accuracy in PBPK Modeling via Absolute Protein Abundances.CPT: pharmacometrics & systems pharmacology · 2026Article
- Optimized cryo-FIB milling strategy to generate thin, minimally damaged biological lamellae.bioRxiv : the preprint server for biology · 2026Article
- Patient cerebral organoids capture Alzheimer's disease proteomic biomarkers and drug targets.bioRxiv : the preprint server for biology · 2026Article
- Making HEDS or tails of glutaredoxin catalysis: Direct reduction of bis(2-hydroxyethyl) disulfide as a non-glutathione disulfide substrate.Redox biology · 2026Article
- Blood proteomics: insights from public data.Genome biology · 2026Review
- Immunometabolic resistors of aging in long-lived golden spiny mice.Science advances · 2026Article
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Authors and funding
4 authors.
Funding
Abstract
Proteomics captures the biological and functional state of cells, condensing complex molecular information into quantitative measurements, yet the reuse of public mass spectrometry (MS) data is impeded by heterogeneous processing and incomplete metadata, limiting its potential to generate new biological insights. These issues restrict reproducibility and cross-study integration, underscoring the need for standardized, high-coverage reference resources. PaxDb addresses this by providing a protein abundance reference at organism- and tissue-level, for the healthy, wild-type state. The v6.0 release integrates 1639 datasets from 392 species, nearly doubling coverage since v5.0, with expanded representation across all kingdoms of life. A new end-to-end MS data processing pipeline enables consistent re-analysis from raw files using the FragPipe framework, integrating standardized metadata, orthology mappings, and protein-protein interaction-based quality scoring. To our knowledge, this is the first large-scale, unbiased, automated reprocessing of public MS data, including links to metadata. We further developed large-language model ensemble classifiers to semi-automate the curator-selection of relevant ProteomeXchange (PX) projects, as well as a user-facing tool for peptide-level abundance calculation, dataset scoring, and direct comparison with PaxDb reference data. The updated database is available at https://www.pax-db.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.