PICKLUSTER

PICKLUSTER identifies and characterizes sub-interfaces within protein-protein interfaces to delineate interaction hotspots and support targeted inhibitor design.

Key Features:

• Sub-interface Identification: Employs distance clustering algorithms to partition complex protein-protein interfaces into smaller sub-interfaces and identify clusters of interacting residues.
• UCSF ChimeraX Integration: Integrates with UCSF ChimeraX (version 1.4 and later) for processing structural data and interfacing with ChimeraX datasets.

Scientific Applications:

• Molecular Recognition Analysis: Enables analysis of the spatial arrangement of interacting regions to elucidate mechanisms of molecular recognition.
• Targeted Inhibitor Design: Supports design and development of inhibitors that specifically target identified sub-interfaces within protein complexes.
• Drug Discovery and Development: Aids identification of potential therapeutic intervention sites by delineating interaction hotspots at sub-interface resolution.

Methodology:

Applies distance clustering techniques to map spatial arrangements and identify clusters of residues that delineate sub-interfaces within protein complexes.