Evidence map›Paper›PMID 33693667›Full record

ArticleDatabase : the journal of biological databases and curation2021

UbiNet 2.0: a verified, classified, annotated and updated database of E3 ubiquitin ligase-substrate interactions.

Zhongyan Li, Siyu Chen, Jhih-Hua Jhong, Yuxuan Pang, Kai-Yao Huang, Shangfu Li, Tzong-Yi Lee

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

39 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
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  6. Signing protein-protein interaction networks.Bioinformatics (Oxford, England) · 2026
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  15. Emerging roles for E3 ubiquitin ligases in neural development and disease.Frontiers in cell and developmental biology · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Zhongyan LiSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Siyu ChenSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Jhih-Hua JhongWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Yuxuan PangSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Kai-Yao HuangSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Shangfu LiWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Tzong-Yi LeeSchool of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P.R.China.
Chinese University of Hong Kong, Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ubiquitination is an important post-translational modification, which controls protein turnover by labeling malfunctional and redundant proteins for proteasomal degradation, and also serves intriguing non-proteolytic regulatory functions. E3 ubiquitin ligases, whose substrate specificity determines the recognition of target proteins of ubiquitination, play crucial roles in ubiquitin-proteasome system. UbiNet 2.0 is an updated version of the database UbiNet. It contains 3332 experimentally verified E3-substrate interactions (ESIs) in 54 organisms and rich annotations useful for investigating the regulation of ubiquitination and the substrate specificity of E3 ligases. Based on the accumulated ESIs data, the recognition motifs in substrates for each E3 were also identified and a functional enrichment analysis was conducted on the collected substrates. To facilitate the research on ESIs with different categories of E3 ligases, UbiNet 2.0 performed strictly evidence-based classification of the E3 ligases in the database based on their mechanisms of ubiquitin transfer and substrate specificity. The platform also provides users with an interactive tool that can visualize the ubiquitination network of a group of self-defined proteins, displaying ESIs and protein-protein interactions in a graphical manner. The tool can facilitate the exploration of inner regulatory relationships mediated by ubiquitination among proteins of interest. In summary, UbiNet 2.0 is a user-friendly web-based platform that provides comprehensive as well as updated information about experimentally validated ESIs and a visualized tool for the construction of ubiquitination regulatory networks available at http://awi.cuhk.edu.cn/~ubinet/index.php.

Indexed as

UbiquitinUbiquitin-Protein LigasesProtein Processing, Post-TranslationalSubstrate SpecificityUbiquitinationUbiquitinUbiquitin-Protein Ligases

Identifiers

PMID33693667
PMCPMC7947570
OpenAlexW3133571965

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.