ArticleCommunications chemistry2026
Comprehensive annotation and analysis of human microproteins by human microprotein atlas platform.
Article in Communications chemistry, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The microprotein Dafcin resembles influenza HA fusion peptide and regulates the size of storage lysosomes in the germline.bioRxiv : the preprint server for biology · 2026Article
- Comprehensive annotation and analysis of human microproteins by human microprotein atlas platform.Communications chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Small open reading frames (sORFs) and their encoded microproteins are increasingly recognized as a widespread but poorly characterized components of the human proteome. Here we show a Human Microprotein Atlas (HMPA) platform that integrates 617,462 human microproteins with sequence features, predicted three-dimensional structures, variant effect predictions, subcellular localization, essentiality, and bioactivity annotations. Structural analyses revealed substantial conformational diversity, and structure-based functional inference suggested roles in cellular regulation, signaling, and cell-cell communication. Deep learning-based analyses further prioritized microproteins with tissue-specific essentiality and enabled the prediction of diverse bioactivities across multiple functional categories. To support the exploration of these data, we also provide an interactive web server with sequence-, structure-, and function-oriented search and analysis utilities. This resource provides a systematic framework for studying microprotein biology and supports the discovery of functional and therapeutically relevant microproteins.
Identifiers
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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.