Phosphomatics

Phosphomatics predicts upstream kinases and annotates phosphorylation sites from mass spectrometry-based phosphoproteomics datasets to support interpretation of signaling networks.

Key Features:

• Mass spectrometry data processing: Processes high-throughput mass spectrometry–based phosphoproteomics datasets and handles large-scale phosphorylation site data.
• Multi-perspective analysis: Performs substrate-, kinase-, and pathway-centric analyses to contextualize phosphorylation events within signaling networks.
• Upstream kinase identification: Identifies potential upstream kinases and predicts kinase–substrate relationships from detected phosphorylation sites.
• Literature integration: Links phosphorylation sites and predicted kinase relationships to relevant scientific literature.

Scientific Applications:

• Systems biology: Maps phosphorylation dynamics across signaling networks to support systems-level analyses.
• Molecular signaling research: Elucidates kinase–substrate relationships underlying cellular signaling processes.
• Hypothesis generation and validation: Integrates experimental phosphoproteomics data with literature to support generation and validation of hypotheses.
• Therapeutic target discovery: Aids identification of candidate regulatory mechanisms and potential therapeutic targets via kinase–substrate mapping.

Methodology:

Processes mass spectrometry phosphoproteomics data with analysis parameter selection (substrate-, kinase-, or pathway-centric) and backend algorithms that identify potential kinase–substrate interactions and link phosphorylation sites to relevant literature.