Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
- PMID: 19139070
- PMCID: PMC2651802
- DOI: 10.1093/nar/gkn1008
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
Abstract
We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions. Therefore, a comparison of phosphovariants between individuals or between species can give clues about phenotypic differences. We categorized phosphovariants into three subtypes and developed a system that predicts them. Our method can be used to screen important polymorphisms and help to identify the mechanisms of genetic diseases.
Figures
Similar articles
-
KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites.Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W226-9. doi: 10.1093/nar/gki471. Nucleic Acids Res. 2005. PMID: 15980458 Free PMC article.
-
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship.BMC Bioinformatics. 2010 Jan 18;11 Suppl 1(Suppl 1):S10. doi: 10.1186/1471-2105-11-S1-S10. BMC Bioinformatics. 2010. PMID: 20122181 Free PMC article.
-
GPS: a comprehensive www server for phosphorylation sites prediction.Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W184-7. doi: 10.1093/nar/gki393. Nucleic Acids Res. 2005. PMID: 15980451 Free PMC article.
-
On-line liquid chromatography electron capture dissociation for the characterization of phosphorylation sites in proteins.Methods Mol Biol. 2009;527:191-9, x. doi: 10.1007/978-1-60327-834-8_14. Methods Mol Biol. 2009. PMID: 19241014 Review.
-
From Phosphosites to Kinases.Methods Mol Biol. 2016;1355:307-21. doi: 10.1007/978-1-4939-3049-4_21. Methods Mol Biol. 2016. PMID: 26584935 Review.
Cited by
-
Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model.Nat Commun. 2024 Aug 7;15(1):6699. doi: 10.1038/s41467-024-51071-9. Nat Commun. 2024. PMID: 39107330 Free PMC article.
-
Decoding the genetic landscape of juvenile dermatomyositis: insights from phosphorylation-associated single nucleotide polymorphisms.Immunogenetics. 2024 Dec;76(5-6):291-304. doi: 10.1007/s00251-024-01350-y. Epub 2024 Jul 31. Immunogenetics. 2024. PMID: 39085621
-
RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication.Nucleic Acids Res. 2023 Jan 6;51(D1):D1388-D1396. doi: 10.1093/nar/gkac750. Nucleic Acids Res. 2023. PMID: 36062570 Free PMC article.
-
Prediction of protein-ligand binding affinity from sequencing data with interpretable machine learning.Nat Biotechnol. 2022 Oct;40(10):1520-1527. doi: 10.1038/s41587-022-01307-0. Epub 2022 May 23. Nat Biotechnol. 2022. PMID: 35606422 Free PMC article.
-
PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information.PeerJ. 2022 Mar 14;10:e12847. doi: 10.7717/peerj.12847. eCollection 2022. PeerJ. 2022. PMID: 35310161 Free PMC article.
References
-
- Hunter T. Signaling–2000 and beyond. Cell. 2000;100:113–127. - PubMed
-
- Dash PK, Moore AN, Kobori N, Runyan JD. Molecular activity underlying working memory. Learn. Mem. 2007;14:554–563. - PubMed
-
- Hunter T, Karin M. The regulation of transcription by phosphorylation. Cell. 1992;70:375–387. - PubMed
-
- Beausoleil SA, Villen J, Gerber SA, Rush J, Gygi SP. A probability-based approach for high-throughput protein phosphorylation analysis and site localization. Nat. Biotechnol. 2006;24:1285–1292. - PubMed
-
- Olsen JV, Blagoev B, Gnad F, Macek B, Kumar C, Mortensen P, Mann M. Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. Cell. 2006;127:635–648. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources