PhosX
PhosX estimates differential kinase activity from phosphoproteomics data by combining enrichment analysis statistics with kinases' substrate sequence specificity information.
Key Features:
- Data-driven kinase activity inference: Identifies upregulated and downregulated kinases without relying on manually curated kinase-substrate associations.
- Substrate sequence specificity integration: Exploits experimentally determined substrate sequence specificities of human kinases for activity estimation.
- Phosphopeptide-based analysis: Operates using only input phosphopeptides' sequences and intensity changes.
- Performance benchmarking: Outperforms currently available approaches for the same task and performs better or similarly to state-of-the-art methods that rely on previously known kinase-substrate associations.
Scientific Applications:
- Signalling mechanism elucidation: Points to causal mechanisms driving signalling processes through kinase activity inference.
- Drug target identification: Identifies potential drug targets by revealing differentially regulated kinases.
- Phosphoproteomics data analysis: Analyzes large phosphoproteomics datasets with known differentially regulated kinases.
Methodology:
PhosX combines state-of-the-art statistics in enrichment analysis with kinases' substrate sequence specificity information.
Topics
Details
- License:
- Apache-2.0
- Programming Languages:
- Python
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026