PhosphoSiteAnalyzer

PhosphoSiteAnalyzer analyzes large-scale phosphoproteomic datasets to integrate kinase-substrate prediction with statistical and predictive analyses for biological interpretation.

Key Features:

• NetworKIN-based kinase prediction: Leverages the NetworKIN algorithm to perform kinase-substrate predictions using linear motif analysis combined with contextual network modeling.
• Semi-automated NetworKIN retrieval: Provides a semi-automated method for retrieving kinase predictions from the public NetworKIN webpage.
• Advanced statistical modules: Applies advanced statistical modules to enable quantitative and qualitative, user-tailored analyses of phosphoproteomic datasets.
• Large-scale phosphoproteome support: Handles datasets comprising tens of thousands of phosphorylation sites generated by mass spectrometric techniques and phosphopeptide enrichment methods.
• Integrative computational and predictive analyses: Integrates computational, statistical, and predictive analytical methodologies for combined interpretation of phosphorylation data.

Scientific Applications:

• Kinase-substrate annotation: Annotates phosphorylation sites with predicted kinases using NetworKIN outputs.
• Interpretation of large-scale phosphoproteomes: Derives biologically meaningful insights from large phosphoproteomic datasets produced by mass spectrometry and phosphopeptide enrichment.
• Dataset-specific statistical analysis: Enables quantitative and qualitative exploration of biological questions through user-tailored statistical analyses of phosphoproteomic data.

Methodology:

Uses NetworKIN kinase-substrate predictions (linear motif analysis and contextual network modeling), semi-automated retrieval from the public NetworKIN webpage, and application of advanced statistical modules to phosphoproteomic datasets.