Evidence map›Paper›PMID 27114492›Full record

ArticleDatabase : the journal of biological databases and curation2016

UbiNet: an online resource for exploring the functional associations and regulatory networks of protein ubiquitylation.

Van-Nui Nguyen, Kai-Yao Huang, Julia Tzu-Ya Weng, K Robert Lai, Tzong-Yi Lee

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  13. Emerging Links between Control of Mitochondrial Protein ATAD3A and Cancer.International journal of molecular sciences · 2020
    Review
  14. Advances on Plant Ubiquitylome-From Mechanism to Application.International journal of molecular sciences · 2020
    Review
  15. Review
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  18. Protein post-translational modifications:Computational and structural biotechnology journal · 2017
    Review
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

5 authors at 1 institution in 2 countries.

Van-Nui NguyenDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan University of Information and Communication Technology, Thai Nguyen University, Vietnam and.
Kai-Yao HuangDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan.
Julia Tzu-Ya WengDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan Innovation Center for Big Data and Digital Convergence, Yuan Ze University, 320, Taiwan.
K Robert LaiDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan Innovation Center for Big Data and Digital Convergence, Yuan Ze University, 320, Taiwan francis@saturn.yzu.edu.tw.
Tzong-Yi LeeDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 320, Taiwan Innovation Center for Big Data and Digital Convergence, Yuan Ze University, 320, Taiwan francis@saturn.yzu.edu.tw.
Yuan Ze University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein ubiquitylation catalyzed by E3 ubiquitin ligases are crucial in the regulation of many cellular processes. Owing to the high throughput of mass spectrometry-based proteomics, a number of methods have been developed for the experimental determination of ubiquitylation sites, leading to a large collection of ubiquitylation data. However, there exist no resources for the exploration of E3-ligase-associated regulatory networks of for ubiquitylated proteins in humans. Therefore, the UbiNet database was developed to provide a full investigation of protein ubiquitylation networks by incorporating experimentally verified E3 ligases, ubiquitylated substrates and protein-protein interactions (PPIs). To date, UbiNet has accumulated 43 948 experimentally verified ubiquitylation sites from 14 692 ubiquitylated proteins of humans. Additionally, we have manually curated 499 E3 ligases as well as two E1 activating and 46 E2 conjugating enzymes. To delineate the regulatory networks among E3 ligases and ubiquitylated proteins, a total of 430 530 PPIs were integrated into UbiNet for the exploration of ubiquitylation networks with an interactive network viewer. A case study demonstrated that UbiNet was able to decipher a scheme for the ubiquitylation of tumor proteins p63 and p73 that is consistent with their functions. Although the essential role of Mdm2 in p53 regulation is well studied, UbiNet revealed that Mdm2 and additional E3 ligases might be implicated in the regulation of other tumor proteins by protein ubiquitylation. Moreover, UbiNet could identify potential substrates for a specific E3 ligase based on PPIs and substrate motifs. With limited knowledge about the mechanisms through which ubiquitylated proteins are regulated by E3 ligases, UbiNet offers users an effective means for conducting preliminary analyses of protein ubiquitylation. The UbiNet database is now freely accessible via http://csb.cse.yzu.edu.tw/UbiNet/ The content is regularly updated with the literature and newly released data.Database URL: http://csb.cse.yzu.edu.tw/UbiNet/.

Indexed as

Databases, ProteinUbiquitinationComputational BiologyHumansInternetUbiquitinated ProteinsUser-Computer InterfaceUbiquitinated Proteins

Identifiers

PMID27114492
PMCPMC4843525
OpenAlexW2344452825

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.