SCOPPI: a structural classification of protein-protein interfaces.

Area of Science:

• Structural Biology
• Bioinformatics
• Computational Biology

Background:

• Protein-protein interactions are fundamental to biological processes.
• Classifying these interactions aids in understanding protein function and evolution.
• Existing databases may lack comprehensive structural and geometrical classifications of domain interfaces.

Purpose of the Study:

• To introduce SCOPPI, a novel database for the structural classification of protein-protein interfaces.
• To provide a comprehensive geometrical classification of domain interactions.
• To offer detailed annotations and analysis tools for protein interfaces.

Main Methods:

• Utilizing SCOP domain definitions and a distance criterion to identify inter-domain interfaces.
• Employing multiple sequence and structural alignments of SCOP families for geometrical classification.
• Integrating Gene Ontology (GO) terms for protein annotation and database browsing.

Main Results:

• SCOPPI classifies and annotates domain interactions from all known protein structures.
• Provides detailed interface characteristics: amino acid composition, conservation, size, and interaction type (permanent/transient).
• Offers a web-based interface with screenshots and analysis examples, including viral mimicry and gene fusion.

Conclusions:

• SCOPPI serves as a valuable resource for analyzing protein-protein interfaces.
• The database facilitates research in areas like viral mimicry, gene fusion, and residue conservation.
• SCOPPI's comprehensive data and user-friendly interface enhance the study of protein interaction structures.