PBSP

PBSP predicts phosphate binding sites in protein structures to identify phosphorylation-dependent interaction loci for structural and functional analysis.

Key Features:

• Novel Methodology: PBSP employs an energy-based ligand-binding site identification method combined with reverse focused docking using a phosphate probe.
• High Accuracy and Performance: PBSP attains approximately a 95% success rate within the top ten predicted sites and an average Matthews correlation coefficient of 0.84 for successful predictions.
• Accurate Binding Mode Prediction: PBSP predicts phosphate binding modes with average positional errors of 1.4 Å in bound datasets and 2.4 Å in unbound datasets.
• Comprehensive Analysis: PBSP includes prediction ranking, visual inspection of predictions, and analysis of reasons for failed predictions.

Scientific Applications:

• Phosphorylation-dependent interaction analysis: PBSP predictions enable identification of phosphate-binding positions that modulate phosphorylation-dependent protein–protein interactions.
• Signal transduction and regulatory pathway studies: PBSP supports analysis of phosphorylation roles in signal transduction, metabolic regulation, and gene expression.
• Structural interpretation of binding modes: PBSP binding-mode predictions provide positional information for mechanistic interpretation of molecular interactions in protein structures.

Methodology:

PBSP combines an energy-based ligand-binding site identification method with reverse focused docking using a phosphate probe.