2021
DOI: 10.1093/nar/gkab962
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UbiBrowser 2.0: a comprehensive resource for proteome-wide known and predicted ubiquitin ligase/deubiquitinase–substrate interactions in eukaryotic species

Abstract: As an important post-translational modification, ubiquitination mediates ∼80% of protein degradation in eukaryotes. The degree of protein ubiquitination is tightly determined by the delicate balance between specific ubiquitin ligase (E3)-mediated ubiquitination and deubiquitinase-mediated deubiquitination. In 2017, we developed UbiBrowser 1.0, which is an integrated database for predicted human proteome-wide E3–substrate interactions. Here, to meet the urgent requirement of proteome-wide E3/deubiquitinase–subs… Show more

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Cited by 83 publications
(60 citation statements)
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“…In order to explore the underlying mechanism of how OVAAL protects PC from protein degradation, we used UbiBrowser 2.0 ( http://ubibrowser.ncpsb.org.cn ) to predict the potential E3 ligase of PC. 31 UbiBrowser 2.0 predicted that HSC70 was the potential protein that interacted with PC to induce ubiquitin degradation. To validate the prediction, we used the Co‐IP assay followed by mass spectrometry to compare PC binding proteins in control and OVAAL knockdown cells (Figure 6A ).…”
Section: Resultsmentioning
confidence: 99%
“…In order to explore the underlying mechanism of how OVAAL protects PC from protein degradation, we used UbiBrowser 2.0 ( http://ubibrowser.ncpsb.org.cn ) to predict the potential E3 ligase of PC. 31 UbiBrowser 2.0 predicted that HSC70 was the potential protein that interacted with PC to induce ubiquitin degradation. To validate the prediction, we used the Co‐IP assay followed by mass spectrometry to compare PC binding proteins in control and OVAAL knockdown cells (Figure 6A ).…”
Section: Resultsmentioning
confidence: 99%
“…To apply this deep learning method to predict substrates of EULs and kinases, I retrieved EULs and kinases from various species along with information about their substrates from the Ubibrowser2.0 (25) and PhosphoSitePlus (56) databases. Then, I retrieved predicted structures in the AlphaFold database (57) with less than 700 residues and more than 70% prediction confidence in at least half the region.…”
Section: Deep Learning Model To Predict Protein Interaction Partnersmentioning
confidence: 99%
“…Using NumPy's random number generator (77), 106 random, not identified as interacting pairs in literatures and datasets, were generated (Supplementary Data 1). From the E3 ubiquitin ligase-substrate interaction database UbiBrowser (25), 189 E3 ubiquitin ligase-substrate interactions were retrieved. Using NumPy's random number generator (77), 124 random, not identified as interacting pairs in literatures and datasets, were generated (Supplementary Data 1).…”
Section: Protein Structure Preparationmentioning
confidence: 99%
“…To better understand the specificity of the UPS and its deregulation in disease, degron sequences need to be discovered and matched with their respective degradation pathways. Recently, systematic approaches such as high-throughput experimental techniques, state-of-the-art proteomics technologies, and computational tools have been developed to understand the UPS selectivity (Coyaud et al, 2015; De Cesare et al, 2021;Kats et al, 2018; Koren et al, 2018; Nie et al, 2020; Timms et al, 2019; Wang et al, 2022;Yoshida et al, 2015). Biochemical and structural approaches complement the former to broaden our understanding of molecular mechanisms underpinning substrate selection by dedicated E3 ligases (X.…”
Section: Introductionmentioning
confidence: 99%