SCPSRM

SCPSRM identifies cyclin-dependent kinase (CDK) substrate proteins by detecting and analyzing clusters of CDK consensus phosphorylation motifs to predict potential CDK targets and regulatory modules.

Key Features:

• Identification of CDK consensus motifs: Detects clusters of cyclin-dependent kinase (CDK) consensus phosphorylation motifs within protein sequences.
• Motif-clustering-based target prediction: Analyzes clustering patterns of CDK consensus motifs to predict potential CDK substrate proteins.
• Discovery of candidate substrates: Identifies new candidate proteins that may be regulated by CDKs based on motif-clustering patterns.

Scientific Applications:

• Cellular signaling pathway research: Predicts CDK substrates to inform regulatory networks governing cell cycle progression and other signaling pathways.
• Post-translational gene regulation studies: Facilitates exploration of how CDK-mediated phosphorylation influences gene expression and protein function.
• Identification of regulatory modules: Uses clustering of sequence motifs to suggest regulatory modules within proteins relevant to structure-function relationships.

Methodology:

Based on the hypothesis that CDK substrate proteins exhibit clustered CDK consensus motifs, SCPSRM computationally detects and analyzes these motif clusters to predict potential substrates with reported high specificity and sensitivity.