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Updated: May 10, 2026
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Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
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PhosNetVis: A web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network
Osho Rawal1, Berk Turhan1,2, Irene Font Peradejordi1,3
1Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Patterns (New York, N.Y.)
|February 3, 2025
Summary
Researchers can now easily explore complex protein phosphorylation data using PhosNetVis. This web tool simplifies kinase-substrate interaction network analysis and visualization for phosphoproteomics datasets.
Area of Science:
- Biochemistry
- Bioinformatics
- Systems Biology
Background:
- Protein phosphorylation is a key regulatory mechanism.
- Liquid chromatography-mass spectrometry generates large phosphoproteomics datasets.
- Inferring kinase-substrate interactions (KSIs) from these datasets is challenging due to complex networks.
Purpose of the Study:
- To develop a user-friendly web-based tool for analyzing and visualizing KSI networks.
- To facilitate interactive exploration of phosphoproteomics data for researchers of all computational skill levels.
Main Methods:
- PhosNetVis integrates phosphoproteomics data analysis steps.
- The tool generates interactive 2D and 3D visualizations of KSI networks.
- It streamlines the inference and exploration of kinase-substrate relationships.
Main Results:
- PhosNetVis enables rapid generation of high-quality visualizations.
- The tool lowers barriers for researchers in analyzing complex phosphoproteomics data.
- It facilitates biological insights from phosphoproteomics datasets.
Conclusions:
- PhosNetVis provides an accessible platform for phosphoproteomics data exploration.
- The tool enhances the ability to understand kinase-substrate interactions.
- It supports researchers in gaining biological insights from complex phosphorylation data.
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