ArticleOpen biology2019
Hidden in plain sight: what remains to be discovered in the eukaryotic proteome?
Article in Open biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 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
64 citing papers in PubMed.
- Problems With GO Enrichment as an Endpoint for Ecological Omics Interpretation.Molecular ecology · 2026Article
- Experimental assessment of AI-based interactome mapping.Nature communications · 2026Article
- PomBase in 2026: expanding knowledge, modeling connections.Genetics · 2026Review
- Investigating uncharacterised genes in Saccharomyces cerevisiae using robot scientists.Scientific reports · 2026Article
- Go Big or go home: a new gene ontology subset that improves plant gene function prediction.Plant methods · 2026Article
- Translating multi-omics into healthcare: requisites for scalable and equitable implementation.Human genomics · 2026Review
- datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping.bioRxiv : the preprint server for biology · 2026Article
- The Gene Ontology knowledgebase in 2026.Nucleic acids research · 2026Article
- Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.G3 (Bethesda, Md.) · 2025Article
- Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025Review
- Creation and validation of a proteome-wide yeast library for protein detection and analysis.Journal of cell science · 2025Article
- PRESCOTT: a population aware, epistatic, and structural model accurately predicts missense effects.Genome biology · 2025Article
- Protein family FAM241 in human and mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Learning maximally spanning representations improves protein function annotation.bioRxiv : the preprint server for biology · 2025Article
- jdispatcher-viewers: interactive visualizations of sequence similarity search results and domain predictions.Bioinformatics advances · 2025Article
- GeneCOCOA: Detecting context-specific functions of individual genes using co-expression data.PLoS computational biology · 2025Article
- Agar lot-specific inhibition in the plating efficiency of yeast spores and cells.G3 (Bethesda, Md.) · 2024Article
- Into the metabolic wild: Unveiling hidden pathways of microbial metabolism.Microbial biotechnology · 2024Article
- The micromammals.G3 (Bethesda, Md.) · 2024Article
- Review
4 more citing papers are in PubMed but not listed here.
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
The first decade of genome sequencing stimulated an explosion in the characterization of unknown proteins. More recently, the pace of functional discovery has slowed, leaving around 20% of the proteins even in well-studied model organisms without informative descriptions of their biological roles. Remarkably, many uncharacterized proteins are conserved from yeasts to human, suggesting that they contribute to fundamental biological processes (BP). To fully understand biological systems in health and disease, we need to account for every part of the system. Unstudied proteins thus represent a collective blind spot that limits the progress of both basic and applied biosciences. We use a simple yet powerful metric based on Gene Ontology BP terms to define characterized and uncharacterized proteins for human, budding yeast and fission yeast. We then identify a set of conserved but unstudied proteins in S. pombe, and classify them based on a combination of orthogonal attributes determined by large-scale experimental and comparative methods. Finally, we explore possible reasons why these proteins remain neglected, and propose courses of action to raise their profile and thereby reap the benefits of completing the catalogue of proteins' biological roles.
Indexed as
Identifiers
What OpenQuestion holds
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.