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Updated: May 23, 2026

Oligopeptide Competition Assay for Phosphorylation Site Determination
Published on: May 18, 2017
PhosphoSiteAnalyzer: a bioinformatic platform for deciphering phospho proteomes using kinase predictions retrieved
Martin V Bennetzen1, Jürgen Cox, Matthias Mann
1Center for Experimental BioInformatics, Department of Biochemistry and Molecular Biology, University of Southern Denmark , Odense, Campusvej 55, DK-5230 Odense M, Denmark.
PhosphoSiteAnalyzer is a new freeware tool that analyzes large phosphoproteomic datasets. It integrates kinase predictions from NetworKIN to help researchers explore complex phosphorylation site data.
Area of Science:
- Biochemistry
- Bioinformatics
- Systems Biology
Background:
- Phosphoproteomic experiments generate vast datasets of phosphorylation sites.
- Analyzing these large datasets requires advanced computational and statistical methods.
Purpose of the Study:
- To introduce PhosphoSiteAnalyzer, an advanced bioinformatic platform for exploring large phosphoproteomic datasets.
- To integrate kinase prediction data from the NetworKIN algorithm for in-depth analysis.
Main Methods:
- Development of the PhosphoSiteAnalyzer software.
- Semiautomated retrieval of kinase predictions from the NetworKIN public webpage.
- Application of advanced statistical methods for data analysis.
Main Results:
- PhosphoSiteAnalyzer facilitates user-tailored analysis of phosphoproteomic data.
- The platform integrates kinase-substrate associations predicted by NetworKIN.
- The software offers a high degree of analytical flexibility and an intuitive interface.
Conclusions:
- PhosphoSiteAnalyzer is a valuable freeware tool for researchers working with large phosphoproteomic datasets.
- The platform enhances the exploration of phosphorylation sites by incorporating kinase prediction data.
- It empowers users to answer complex biological questions from their data.
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