KANPHOS: Kinase-associated neural phospho-signaling database for data-driven research.

Area of Science:

• Neuroscience
• Molecular Biology
• Bioinformatics

Background:

• Protein phosphorylation is vital for brain function and implicated in neurological disorders.
• Existing databases lack specific focus on brain phosphorylation events, hindering neurotransmitter pathway research.

Purpose of the Study:

• To introduce KANPHOS, a web-based database for neural protein phosphorylation.
• To support data-driven research on brain signaling pathways and neurological diseases.

Main Methods:

• Development of a web-based database (KANPHOS).
• Integration of search functionalities for kinases, substrates, genes, proteins, and diseases.
• Inclusion of pathway and network analysis tools and API functionality.

Main Results:

• KANPHOS enables targeted searches for protein kinases and substrates linked to extracellular signals or diseases.
• The database consolidates information on phosphorylated substrates, mutant mice, and associated diseases.
• Integrated analysis tools facilitate pathway and network investigations.

Conclusions:

• KANPHOS addresses the gap in brain-specific phosphorylation data, crucial for understanding neurological disorders.
• The database enhances data-driven research into the complex landscape of brain protein phosphorylation.
• KANPHOS is freely accessible, promoting research into molecular mechanisms of neurological diseases.