KinCytE
KinCytE links kinase inhibitors to cytokine and chemokine release and signaling pathways to identify and rank kinase regulators and FDA-approved kinase inhibitors that modulate cytokine and chemokine activity.
Key Features:
- Kinase–cytokine linking: Bridges kinase inhibitors with cytokine and chemokine release and signaling pathways.
- Protein kinase exploration: Enables exploration of the role of protein kinases in regulating specific cytokines and chemokines.
- Ranked inhibitor lists: Generates ranked lists of FDA-approved kinase inhibitors that influence cytokine or chemokine activity.
- Cytokine signaling network visualization: Produces visualizations of cytokine signaling networks to reveal regulatory relationships.
- Molecular regulator identification: Identifies molecular regulators and potential therapeutic opportunities within kinase–cytokine interactions.
Scientific Applications:
- Regulation of immune processes: Study regulation of inflammation, immune response, and cell differentiation mediated by cytokines and chemokines.
- Disease mechanism analysis: Investigate kinase-mediated cytokine and chemokine dysregulation in diseases including cancer.
- Drug repurposing and prioritization: Prioritize FDA-approved kinase inhibitors for modulation of cytokine or chemokine activity as potential therapeutic strategies.
- Signaling network mapping: Elucidate cytokine signaling networks and kinase regulatory relationships to inform target selection.
Methodology:
Computationally links kinase inhibitors to cytokine and chemokine release and signaling pathways, generates ranked lists of FDA-approved kinase inhibitors that influence cytokine or chemokine activity, and produces visualizations of cytokine signaling networks.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 5/24/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Chan M, Kang Y, Osborne S, Zager M, Gujral TS. A kinase to cytokine explorer to identify molecular regulators and potential therapeutic opportunities. eLife. 2024;12. doi:10.7554/elife.91472. PMID:38305363. PMCID:PMC10945549.
DOI: 10.7554/elife.91472
PMID: 38305363
PMCID: PMC10945549
Funding: - National Science Foundation: 2047289