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DEGRONOPEDIA - a web server for proteome-wide inspection of degrons
Open accessPreprint — published as 10.1093/nar/gkae238 · Paper page
Abstract
The ubiquitin-proteasome system is a proteolytic pathway that removes damaged and unwanted proteins. Their selective turnover is initiated by ubiquitin (Ub) attachment, mainly by Ub ligases that recognize substrates through their short linear motifs termed degrons. A degradation-targeting degron comprises a nearby Ub-modified residue and an intrinsically disordered region (IDR) involved in interaction with the proteasome. Degron-signaling has been studied over the last decades, yet there are no resources for systematic screening of degron sites to facilitate studies on their biological significance, such as targeted protein degradation approaches. To bridge this gap, we developed DEGRONOPEDIA, a web server that allows exploration of degron motifs in the proteomes of seven model organisms and maps these data to Lys, Cys, Thr, and Ser residues that can undergo ubiquitination and to IDRs proximal to them, both in sequence and structure. The server also reports the post-translational modifications and pathogenic mutations within the degron and its flanking regions, as these can modulate the degron’s accessibility. Degrons often occur at the amino or carboxyl end of a protein substrate, acting as initiators of the N-/C-degron pathway, respectively. Therefore, since they may appear following the protease cleavage, DEGRONOPEDIA simulate sequence nicking based on experimental data and theoretical predictions and screen for emerging degron motifs. Moreover, we implemented machine learning to predict the stability of the N-/C-termini, facilitating the identification of substrates of the N-/C-degron pathways. We are confident that our tool will stimulate research on degron-signaling providing output information in a ready-to-validate context. DEGRONOPEDIA can be freely accessed at degronopedia.com .
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Flagged first, then by citations
Research works printed but not linked: 89
- 2022, Real-time structure search and structure classification for AlphaFold protein models, Communications Biology, 5, 316, 10.1038/s42003-022-03261-8 · DOI · Paper page
- Akiba, T. , Sano, S. , Yanase, T. , Ohta, T. , & Masanori, K. (2019). Optuna: A Next-generation Hyperparameter Optimization Framework. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ‘19)., 2623–2631. https://doi.org/10.48550/arXiv.1907.10902 · DOI
- 10.1038/75556 · DOI · Paper page
- 10.1101/gad.319905 · DOI · Paper page
- 10.1126/science.3018930 · DOI
- 10.1126/science.abj8754 · DOI · Paper page
- 10.1006/jmbi.1997.1078 · DOI
- 10.1093/bioinformatics/btn615 · DOI
- 10.1074/jbc.M706325200 · DOI
- Chen, S.-J. , Wu, X. , Wadas, B. , Oh, J.-H. , & Varshavsky, A. (2017). An N-end rule pathway that recognizes proline and destroys gluconeogenic enzymes. Science, 355(6323). https://doi.org/10.1126/science.aal3655 · DOI
- 2021, Molecular basis for arginine C-terminal degron recognition by Cul2 E3 ligase, Nature Chemical Biology, 17, 254, 10.1038/s41589-020-00704-3 · DOI
- 2020, Identification of a PGXPP degron motif in dishevelled and structural basis for its binding to the E3 ligase KLHL12, Open Biology, 10, 200041, 10.1098/rsob.200041 · DOI
- 2022, Multifaceted N-Degron Recognition and Ubiquitylation by GID/CTLH E3 Ligases, Journal of Molecular Biology, 434, 167347, 10.1016/j.jmb.2021.167347 · DOI
- 10.1074/jbc.RA119.007798 · DOI
- 10.1093/bioinformatics/btp163 · DOI · Paper page
- 2015, BioID-based Identification of Skp Cullin F-box (SCF)β-TrCP1/2 E3 Ligase Substrates, Molecular & Cellular Proteomics: MCP, 14, 1781, 10.1074/mcp.M114.045658 · DOI
- De Cesare, V. , Carbajo Lopez, D. , Mabbitt, P. D. , Fletcher, A. J. , Soetens, M. , Antico, O. , Wood, N. T. , & Virdee, S. (2021). Deubiquitinating enzyme amino acid profiling reveals a class of ubiquitin esterases. Proceedings of the National Academy of Sciences of the United States of America, 118(4). https://doi.org/10.1073/pnas.2006947118 · DOI
- 2018, Life and death of proteins after protease cleavage: protein degradation by the N-end rule pathway, The New Phytologist, 218, 929, 10.1111/nph.14619 · DOI
- 10.1083/jcb.201005144 · DOI
- 2022, Regulation of Neurodegeneration-associated Protein Fragments by the N-degron Pathways, Neurotoxicity Research, 40, 298, 10.1007/s12640-021-00396-0 · DOI
- Gasteiger, E. , Hoogland, C. , Gattiker, A. , Duvaud S. ‘everine , Wilkins, M. R. , Appel, R. D. , & Bairoch, A. (2005). Protein Identification and Analysis Tools on the ExPASy Server. The Proteomics Protocols Handbook (pp. 571–607). https://doi.org/10.1385/1-59259-890-0:571 · DOI
- 10.1093/nar/gkaa1113 · DOI · Paper page
- 10.1152/physrev.00027.2001 · DOI
- 10.1007/s13361-012-0516-6 · DOI
- 1989, Universality and structure of the N-end rule, The Journal of Biological Chemistry, 264, 16700, 10.1016/S0021-9258(19)84762-2 · DOI
- 2016, Tripartite degrons confer diversity and specificity on regulated protein degradation in the ubiquitin-proteasome system, Nature Communications, 7, 10239, 10.1038/ncomms10239 · DOI · Paper page
- 10.1016/j.molcel.2013.04.024 · DOI
- 10.1074/jbc.M111.286104 · DOI
- 10.1093/genetics/iyaa028 · DOI
- 10.1016/j.febslet.2012.05.045 · DOI
- 10.1093/nar/gku1267 · DOI · Paper page
- 10.1093/nar/gkx1104 · DOI
- 10.1126/science.1183147 · DOI · Paper page
- 10.1074/jbc.M110.127936 · DOI
- 10.1093/nar/gkq1105 · DOI
- 10.1002/bip.360221211 · DOI · Paper page
- 10.1016/j.molcel.2018.03.033 · DOI
- 10.1146/annurev.cellbio.22.010605.093503 · DOI
- 10.1146/annurev-biochem-060310-170328 · DOI · Paper page
- 10.1016/j.cell.2018.04.028 · DOI
- 10.1242/jcs.093567 · DOI
- Kumar, M. , Gouw, M. , Michael, S. , Sámano-Sánchez, H. , Pancsa, R. , Glavina, J. , Diakogianni, A. , Valverde, J. A. , Bukirova, D. , Čalyševa, J. , Palopoli, N. , Davey, N. E. , Chemes, L. B. , & Gibson, T. J. (2019). ELM—the eukaryotic linear motif resource in 2020. Nucleic Acids Research. https://doi.org/10.1093/nar/gkz1030 · DOI
- 10.1126/science.274.5289.948 · DOI · Paper page
- 10.1016/0022-2836(82)90515-0 · DOI
- 10.1021/acs.jproteome.8b00717 · DOI
- 10.1074/jbc.M112.424911 · DOI
- 10.1093/nar/gkq939 · DOI
- 10.1093/nar/gkt1093 · DOI
- Li, Z. , Chen, S. , Jhong, J.-H. , Pang, Y. , Huang, K.-Y. , Li, S. , & Lee, T.-Y. (2021). UbiNet 2.0: a verified, classified, annotated and updated database of E3 ubiquitin ligase–substrate interactions. Database (Vol. 2021). https://doi.org/10.1093/database/baab010 · DOI
- 2016, Degradation Signals for Ubiquitin-Proteasome Dependent Cytosolic Protein Quality Control (CytoQC) in Yeast, 6, 1853
- 2019, Cellular functions and molecular mechanisms of non-lysine ubiquitination, Open Biology, 9, 190147, 10.1098/rsob.190147 · DOI
- 10.1152/physiolgenomics.00031.2016 · DOI
- 2016, Identification of a p53-based portable degron based on the MDM2-p53 binding region, The Analyst, 141, 570, 10.1039/C5AN01429H · DOI
- Mészáros, B. , Kumar, M. , Gibson, T. J. , Uyar, B. , & Dosztányi, Z. (2017). Degrons in cancer. Science Signaling, 10(470). https://doi.org/10.1126/scisignal.aak9982 · DOI
- 10.1093/gerona/glu049 · DOI · Paper page
- 2020, Proteome-wide Analysis Reveals Substrates of E3 Ligase RNF146 Targeted for Degradation, Molecular & Cellular Proteomics: MCP, 19, 2015, 10.1074/mcp.RA120.002290 · DOI
- 10.1073/pnas.1705898114 · DOI
- 10.1093/nar/gkt1115 · DOI
- 2015, Peptides: A Package for Data Mining of Antimicrobial Peptides, The R Journal, 7, 4, 10.32614/RJ-2015-001 · DOI
- 2021, The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions, Protein Science: A Publication of the Protein Society, 30, 187, 10.1002/pro.3978 · DOI · Paper page
- 2020, The Feature-Viewer: a visualization tool for positional annotations on a sequence, Bioinformatics, 36, 3244, 10.1093/bioinformatics/btaa055 · DOI
- Pedregosa, F. , Varoquaux, G. , Gramfort, A. , Michel, V. , Thirion, B. , Grisel, O. , Blondel, M. , Müller, A. , Nothman, J. , Louppe, G. , Prettenhofer, P. , Weiss, R. , Dubourg, V. , Vanderplas, J. , Passos, A. , Cournapeau, D. , Brucher, M. , Perrot, M. , & Duchesnay, É. (2012). Scikit-learn: Machine Learning in Python. arXiv. https://doi.org/10.48550/arxiv.1201.0490 · DOI · Paper page
- Prokhorenkova, L. , Gusev, G. , Vorobev, A. , Dorogush, A. V. , & Andrey, G. (2018). CatBoost: unbiased boosting with categorical features. Advances in Neural Information Processing Systems, 31. https://doi.org/10.48550/arXiv.1706.09516 · DOI
- Ramazi, S. , & Zahiri, J. (2021). Posttranslational modifications in proteins: resources, tools and prediction methods. Database: The Journal of Biological Databases and Curation, 2021. https://doi.org/10.1093/database/baab012 · DOI
- 10.1038/nrm2468 · DOI
- 10.1093/nar/gkx1134 · DOI · Paper page
- 10.1073/pnas.0903614106 · DOI
- 10.1002/prot.340200303 · DOI
- 10.1016/S0022-2836(02)00852-5 · DOI
- 10.1128/MCB.25.16.7120-7136.2005 · DOI
- 10.1093/nar/gky1015 · DOI · Paper page
- 2020, Tying up loose ends: the N-degron and C-degron pathways of protein degradation, Biochemical Society Transactions, 48, 1557, 10.1042/BST20191094 · DOI
- Timms, R. T. , Zhang, Z. , Rhee, D. Y. , Harper, J. W. , Koren, I. , & Elledge, S. J. (2019). A glycine-specific N-degron pathway mediates the quality control of protein-myristoylation. Science, 365(6448). https://doi.org/10.1126/science.aaw4912 · DOI
- 2021, Systematic characterization of mutations altering protein degradation in human cancers, Molecular Cell, 81, 1292, 10.1016/j.molcel.2021.01.020 · DOI
- 2021, Highly accurate protein structure prediction for the human proteome, Nature, 596, 590, 10.1038/s41586-021-03828-1 · DOI · Paper page
- 10.1093/nar/gkaa1100 · DOI · Paper page
- 10.1093/NAR/GKAB1061 · DOI · Paper page
- 10.1002/pmic.201400619 · DOI
- 10.1073/pnas.1816596116 · DOI · Paper page
- 2022, UbiBrowser 2.0: a comprehensive resource for proteome-wide known and predicted ubiquitin ligase/deubiquitinase–substrate interactions in eukaryotic species, Nucleic Acids Research, 50, D719, 10.1093/nar/gkab962 · DOI · Paper page
- 10.1016/j.devcel.2017.05.013 · DOI
- 10.1074/jbc.M702038200 · DOI
- Wong, C. C. L. , Xu, T. , Rai, R. , Bailey, A. O. , Yates, J. R., 3rd , Wolf, Y. I. , Zebroski, H. , & Kashina, A. (2007). Global analysis of posttranslational protein arginylation. PLoS Biology, 5(10), e258. https://doi.org/10.1371/journal.pbio.0050258 · DOI
- 2017, PLMD: An updated data resource of protein lysine modifications, Journal of Genetics and Genomics = Yi Chuan Xue Bao, 44, 243, 10.1016/j.jgg.2017.03.007 · DOI
- 10.1038/ncb1470 · DOI
- 2021, Molecular basis for ubiquitin ligase CRL2-mediated recognition of C-degron, Nature Chemical Biology, 17, 263, 10.1038/s41589-020-00703-4 · DOI
- 2021, The C-degron pathway eliminates mislocalized proteins and products of deubiquitinating enzymes, The EMBO Journal, 40, e105846, 10.15252/embj.2020105846 · DOI
- 2017, Comprehensive analysis of human protein N-termini enables assessment of various protein forms, Scientific Reports, 7, 6599, 10.1038/s41598-017-06314-9 · DOI
- 10.1073/pnas.1422313112 · DOI
Metadata
- Authors
- Szulc, N. A., Stefaniak, F., Piechota, M., Cappannini, A., Bujnicki, J. M., & Pokrzywa, W.
- Affiliations
- International Institute of Molecular and Cell Biology (PL)
- Corresponding author
- Szulc, Natalia A.
- Pokrzywa, Wojciech
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- openRxiv
- Published
- 2022-05-22
- Volume
- 52
- Issue
- W1
- Pages
- W221-W232
- ISSN
- 0305-1048 (ISSN-L)
- PMC
- PMC11223883
- OpenAlex
- W4393902617
- Cited by
- 35
- References
- 1
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 7 · 2023: 4
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion, cc-by)
- Funders
- European Commission (H2020-MSCA-ITN, MSCA‐ITN‐2020, H2020, CA16120, H2020-MSCA-ITN-2020, H2020-MSCA, 956810)
- Fundacja na rzecz Nauki Polskiej (POIR.04.04, POIR.04.04.00-00-5EAB/18-00)
- Narodowym Centrum Nauki (2021/41/N/NZ1/03473, 2021/42/E/NZ1/00190, 2017/26/A/NZ1/01083, 2020/39/B/NZ2/03127)
- Uniwersytet Warszawski
- Horizon 2020 Framework Programme (H2020-MSCA, 956810, H2020-MSCA-ITN)
- Biotechnology and Biological Sciences Research Council (BB/T009454/2, BB/T009454/1)
- European Regional Development Fund (H2020)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- degron, E3 ubiquitin ligase, linear motifs, ubiquitination, protein degradation, protein disorder, protein unfolding, post-translational modification, web server
- MeSH terms
- Machine Learning, Degrons, Humans, Protein Processing, Post-Translational, Software, Internet, Proteome, Amino Acid Motifs, Ubiquitin-Protein Ligases, Ubiquitination, Proteolysis
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