KSEA App

KSEA App infers kinase activity from quantitative phosphoproteomics datasets to characterize differential kinase activities in signaling networks.

Key Features:

• Kinase activity estimation: Estimates kinase activity changes by aggregating phosphorylation changes across identified kinase substrates.
• Quantitative phosphoproteomics input: Accepts quantitative phosphoproteomics datasets as the primary input for analysis.
• Substrate-centered analysis: Analyzes collective phosphorylation changes of kinase substrates to infer modulation under experimental conditions such as drug treatments or disease states.
• High-throughput compatibility: Supports analysis of high-throughput phosphoproteomics datasets to provide scalable kinase activity estimates.
• Computational characterization of differential kinase activities: Performs computational characterization of differential kinase activities and alterations in signaling cascades.

Scientific Applications:

• Investigate signaling pathways: Use inferred kinase activities to study kinase-driven signaling networks and cellular circuitry.
• Assess pharmacological and pathological effects: Evaluate the impact of drug treatments or disease states on kinase activity profiles.
• Interpret cellular responses: Provide data-driven insights into molecular-level cellular responses via phosphoproteomics-derived kinase activity inference.

Methodology:

Computational analysis of quantitative phosphoproteomics data focusing on phosphorylation changes across substrates associated with specific kinases, aggregating these changes to infer kinase activity levels and potential regulatory mechanisms within signaling networks.