ArticleScientific reports2016
Prioritizing functional phosphorylation sites based on multiple feature integration.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations.Cell reports methods · 2025Article
- Large-scale phosphomimetic screening identifies phospho-modulated motif-based protein interactions.Molecular systems biology · 2023Article
- Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models - Development, Validation, and Interpretation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Insulin signaling regulates longevity through protein phosphorylation in Caenorhabditis elegans.Nature communications · 2021Article
- The Post-Translational Regulation of Epithelial-Mesenchymal Transition-Inducing Transcription Factors in Cancer Metastasis.International journal of molecular sciences · 2021Review
- Proteomic and transcriptomic profiling of aerial organ development in Arabidopsis.Scientific data · 2020Article
- PhosphoEffect: Prioritizing Variants On or Adjacent to Phosphorylation Sites through Their Effect on Kinase Recognition Motifs.iScience · 2020Article
- Analysis of EYA3 Phosphorylation by Src Kinase Identifies Residues Involved in Cell Proliferation.International journal of molecular sciences · 2019Article
- DOC2B promotes insulin sensitivity in mice via a novel KLC1-dependent mechanism in skeletal muscle.Diabetologia · 2019Article
- Evaluation of functionality for serine and threonine phosphorylation with different evolutionary ages in human and mouse.BMC genomics · 2018Article
- Analyses of PDE-regulated phosphoproteomes reveal unique and specific cAMP-signaling modules in T cells.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Isoelectric point-based fractionation by HiRIEF coupled to LC-MS allows for in-depth quantitative analysis of the phosphoproteome.Scientific reports · 2017Article
- Quantitative cardiac phosphoproteomics profiling during ischemia-reperfusion in an immature swine model.American journal of physiology. Heart and circulatory physiology · 2017Article
- The Pivotal Role of Protein Phosphorylation in the Control of Yeast Central Metabolism.G3 (Bethesda, Md.) · 2017Article
- Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.PloS one · 2017Article
- Proteome-wide Structural Analysis of PTM Hotspots Reveals Regulatory Elements Predicted to Impact Biological Function and Disease.Molecular & cellular proteomics : MCP · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein phosphorylation is an important type of post-translational modification that is involved in a variety of biological activities. Most phosphorylation events occur on serine, threonine and tyrosine residues in eukaryotes. In recent years, many phosphorylation sites have been identified as a result of advances in mass-spectrometric techniques. However, a large percentage of phosphorylation sites may be non-functional. Systematically prioritizing functional sites from a large number of phosphorylation sites will be increasingly important for the study of their biological roles. This study focused on exploring the intrinsic features of functional phosphorylation sites to predict whether a phosphosite is likely to be functional. We found significant differences in the distribution of evolutionary conservation, kinase association, disorder score, and secondary structure between known functional and background phosphorylation datasets. We built four different types of classifiers based on the most representative features and found that their performances were similar. We also prioritized 213,837 human phosphorylation sites from a variety of phosphorylation databases, which will be helpful for subsequent functional studies. All predicted results are available for query and download on our website (Predict Functional Phosphosites, PFP, http://pfp.biosino.org/).
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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.