ArticleNucleic acids research2024
GPS-SUMO 2.0: an updated online service for the prediction of SUMOylation sites and SUMO-interacting motifs.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- WFS1 Deficiency Impairs PIAS4-Associated SUMOylation and Increases Ubiquitin-Mediated Spermatogenesis-Related Protein Degradation Leading to Testicular Male Infertility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- TRIM28 SUMOylates IRF3 in astrocytes to drive neutrophils infiltration and ischemic cerebral injury.Cell death and differentiation · 2026Article
- Post-translational modifications in metabolic reprogramming: implications for metabolic therapy and immunotherapy in cancer.Signal transduction and targeted therapy · 2026Review
- Natural variation in OsMYB305 downregulating cytokinin-mediated inhibition of leaf senescence contributes to regional adaptation in rice.The New phytologist · 2026Article
- Kinetochore-microtubule attachments are strengthened by Cnn1 stabilization of Stu2.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- RanBP2-dependent SUMOylation of G3BP2 inhibits formation, and promotes disassembly, of stress granules.Molecular biology of the cell · 2026Article
- SUMOylation of EphB4 enhances its stability in prostate cancer.British journal of cancer · 2026Article
- A Landscape Analysis of Human SUMOylation.Molecular & cellular proteomics : MCP · 2026Article
- Post-translational Modifications in Proteins: Prediction Methods, Biological Functions, and Diseases.MedComm · 2026Review
- Inhibition of coronaviral exoribonuclease activity by TRIM-mediated SUMOylation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- HDAC11 Regulates RNA Splicing via De-Fatty Acylation of SF3B2.bioRxiv : the preprint server for biology · 2026Article
- A factor integrating transcription and repression of surface antigen genes in African trypanosomes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- CircRAD23B-208aa Promotes Gastric Cancer Progression by Activating the Unfolded Protein Response through PDIA5 SUMOylation.Research (Washington, D.C.) · 2026Article
- Non-covalent SUMO interactions with ligases and effectors: SUMO-interacting motifs and beyond.Essays in biochemistry · 2025Review
- Functional Properties of POU1F1 Mutants in the Transcriptional Regulation of the Thyrotropin β Gene Compared with the Prolactin Gene.International journal of molecular sciences · 2025Article
- Targeting SUMOylation with Anacardic Acid Derivatives: Novel Insights into EGF Pathway Dysregulation in Cancer Using an In Silico Approach.ACS omega · 2025Article
- ZNF33B facilitates Japanese encephalitis virus replication by controlling HSPB1/8-mediated SUMOylation of nonstructural protein 5.Journal of virology · 2025Article
- AlphaFold2 SLiM screen for LC3-LIR interactions in autophagy.Autophagy · 2025Article
- Identification of SUMO Proteins and Their Expression Profile During Induction of Somatic Embryogenesis inInternational journal of molecular sciences · 2025Article
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11 authors.
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Abstract
Small ubiquitin-like modifiers (SUMOs) are tiny but important protein regulators involved in orchestrating a broad spectrum of biological processes, either by covalently modifying protein substrates or by noncovalently interacting with other proteins. Here, we report an updated server, GPS-SUMO 2.0, for the prediction of SUMOylation sites and SUMO-interacting motifs (SIMs). For predictor training, we adopted three machine learning algorithms, penalized logistic regression (PLR), a deep neural network (DNN), and a transformer, and used 52 404 nonredundant SUMOylation sites in 8262 proteins and 163 SIMs in 102 proteins. To further increase the accuracy of predicting SUMOylation sites, a pretraining model was first constructed using 145 545 protein lysine modification sites, followed by transfer learning to fine-tune the model. GPS-SUMO 2.0 exhibited greater accuracy in predicting SUMOylation sites than did other existing tools. For users, one or multiple protein sequences or identifiers can be input, and the prediction results are shown in a tabular list. In addition to the basic statistics, we integrated knowledge from 35 public resources to annotate SUMOylation sites or SIMs. The GPS-SUMO 2.0 server is freely available at https://sumo.biocuckoo.cn/. We believe that GPS-SUMO 2.0 can serve as a useful tool for further analysis of SUMOylation and SUMO interactions.
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