PhosNetVis: A web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network...

Area of Science:

• Biochemistry
• Computational Biology
• Bioinformatics

Background:

• Protein phosphorylation is a key regulatory mechanism.
• Liquid chromatography-mass spectrometry generates large phosphoproteomics datasets.
• Existing tools struggle with interactive exploration of complex kinase-substrate interaction (KSI) networks.

Purpose of the Study:

• To develop a user-friendly web-based tool for analyzing phosphoproteomics data.
• To facilitate interactive exploration and visualization of KSI networks.
• To lower barriers for researchers in gaining biological insights from phosphoproteomics data.

Main Methods:

• Development of PhosNetVis, a web-based application.
• Integration of phosphoproteomics data analysis steps into a single tool.
• Implementation of interactive 2D and 3D visualization of KSI networks.

Main Results:

• PhosNetVis enables researchers to infer and explore KSI networks.
• The tool supports interactive analysis of large and complex phosphoproteomics datasets.
• High-quality visualizations can be rapidly generated for biological insight.

Conclusions:

• PhosNetVis addresses the unmet need for user-friendly phosphoproteomics data exploration.
• The tool empowers researchers of all computational skill levels to analyze phosphorylation data.
• PhosNetVis facilitates the generation of biological insights from complex phosphoproteomics datasets.