Evidence map›Paper›PMID 41449181›Full record

ArticleNature communications2025

Multi-scale classification decodes the complexity of the human E3 ligome.

Arghya Dutta, Alberto Cristiani, Siddhanta V Nikte, Jonathan Eisert, Yves Matthess, Borna Markusic, Cosmin Tudose, Chiara Becht, Ronay Cetin, Varun Jayeshkumar Shah and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. High-throughput screening identifies a critical role of the SPOP-PABPC1 axis in lung adenocarcinoma progression.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Regulation of histones in thromboinflammation.Frontiers in immunology · 2026
    Review
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Arghya Dutta *Institute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-2116-6475
Alberto Cristiani *Institute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0009-0004-8273-3386
Siddhanta V Nikte *Institute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-1553-3040
Jonathan EisertInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0009-0001-6850-5908
Yves MatthessInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-4040-1258
Borna MarkusicInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0009-0007-8302-812X
Cosmin TudoseInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-9314-9108
Chiara BechtInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0009-0008-7991-5807
Ronay CetinInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.
Varun Jayeshkumar ShahInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.
Thorsten MoslerInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0003-1800-2680
Koraljka HusnjakInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.
Ivan DikicInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0001-8156-9511
Manuel KaulichInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-9528-8822
Ramachandra M BhaskaraInstitute of Biochemistry II, Faculty of Medicine, Goethe University, Theodor-Stern-Kai 7, Frankfurt am Main, Germany. Bhaskara@med.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-7742-0391

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) PROXIDRUGs project, InnoDATA-1.0 ID 03ZU1109KA and InnoDATA-2.0 ID 03ZU2109JADeutsche Forschungsgemeinschaft (German Research Foundation) Project-ID 259130777-SFB1177
6 · The paper itself

Abstract

E3 ubiquitin ligases are vital enzymes that define the ubiquitin code in cells. Beyond promoting protein degradation to maintain cellular health, they also mediate non-degradative processes like DNA repair, signaling, and immunity. Despite their therapeutic potential, a comprehensive framework for understanding the relationships among diverse E3 ligases is lacking. Here, we classify the "human E3 ligome"-an extensive set of catalytic human E3s-by integrating multi-layered data, including protein sequences, domain architectures, 3D structures, functions, and expression patterns. Our classification is based on a metric-learning paradigm and uses a weakly supervised hierarchical framework to capture authentic relationships across E3 families and subfamilies. It extends the categorization of E3s into RING, HECT, and RBR classes, including non-canonical mechanisms, successfully explains their functional segregation, distinguishes between multi-subunit complexes and standalone enzymes, and maps E3s to substrates and potential drug interactions. Our analysis provides a global view of E3 biology, opening strategies for drugging E3-substrate networks, including drug repurposing and designing specific E3 handles.

Indexed as

ProteomeUbiquitin-Protein LigasesAmino Acid SequenceCluster AnalysisDatasets as TopicHeLa CellsHumansMachine LearningMultiprotein ComplexesProtein ConformationSequence AlignmentMultiprotein ComplexesProteomeUbiquitin-Protein Ligases

Identifiers

PMID41449181
PMCPMC12741051

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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.