PocketQuery

PocketQuery analyzes protein–protein interaction (PPI) interfaces to identify hot spot residues, anchor residues, and clustered hot regions and to score residue clusters for druggability to guide small-molecule inhibitor design.

Key Features:

• Hot spot and anchor identification: Identifies hot spot residues, anchor residues, and hot regions (clusters of interacting residues) at PPI interfaces.
• Druggability scoring: Calculates a "druggability" score that evaluates the potential of specific residue clusters for chemical mimicry and small-molecule targeting.
• Export for pharmacophore workflows: Exports identified residue clusters for use in pharmacophore-based drug discovery workflows.
• PDB integration: Incorporates PPI structures from the Protein Data Bank (PDB) for analysis.
• Custom structure analysis: Accepts user-provided protein structures for analysis of specific interactions.

Scientific Applications:

• Small-molecule inhibitor design: Provides starting points for design of small-molecule inhibitors targeting PPIs by highlighting druggable residue clusters.
• Therapeutic target discovery: Supports identification and prioritization of therapeutic targets through assessment of interface druggability.
• Pharmacophore-based drug discovery: Enables incorporation of residue-cluster information into pharmacophore modeling and virtual screening.
• Structural biology: Facilitates analysis of PPI interfaces in structural biology studies.

Methodology:

Identifies hot spots and anchor residues, clusters interacting residues into hot regions, computes a druggability score for residue clusters, and exports clusters for pharmacophore-based workflows using PDB and user-supplied structures.