ArticleNucleic acids research2026
Mapping drug mechanisms with ProteomicsDB: unified omics and cell sensitivity data at scale.
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 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
2 citing papers in PubMed.
- Review
- Critical evaluation of drug response prediction models with DrEval.Nature communications · 2026Article
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Authors and funding
15 authors.
Funding
Abstract
Proteomic and phenotypic cell sensitivity datasets are increasingly important for understanding chemoproteomics and the underlying drug mechanisms of action. Yet, integrating such heterogeneous datasets remains challenging due to inconsistent annotations, incompatible IDs, and variable data processing methods. Here, a major update to ProteomicsDB (https://www.proteomicsdb.org) is presented that combines over 1300 proteomic and 1000 transcriptomic profiles with phenotypic cell sensitivity data across >1500 human cancer cell lines and 1470 drugs. Harmonizing cell line and drug names and applying a standardized normalization and refitting pipeline for dose-response curves enables consistent, statistically robust analysis across studies. Three new graphical user interfaces support interactive exploration of cell sensitivity data, exploring the protein targets and dose-resolved changes in protein expression in the presence of a drug, and comparing the expression profiles of cell lines. With this update, ProteomicsDB is strengthening its future role as a central hub for proteomics and multi-omics, providing researchers with a unified framework to explore phenotypic cell sensitivity in combination with dose-resolved expression proteomics at the molecular level, supporting biomarker discovery, drug repurposing, and precision medicine applications.
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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 Socratic graph.