NCI: A server to identify non-canonical interactions in protein structures

Area of Science:

• Structural Biology
• Bioinformatics
• Computational Chemistry

Background:

• Non-canonical interactions (e.g., N-H...pi, C(alpha)-H...pi) are increasingly recognized in protein structures.
• These interactions, initially observed in small molecules, play a role in protein stability.
• Understanding the geometric criteria for these interactions is crucial for structural analysis.

Purpose of the Study:

• To introduce the NCI (Non-Canonical Interactions) server for identifying non-canonical interactions in protein structures.
• To provide a user-friendly tool for analyzing these interactions based on geometric criteria.

Main Methods:

• The NCI server accepts protein/peptide coordinates (Protein Data Bank format) or SCOP/PDB identifiers.
• It employs geometric criteria to detect various non-canonical interactions.
• Results are visualized through HTML tables, text files, and interaction matrices.

Main Results:

• The NCI server successfully identifies diverse non-canonical interactions within protein structures.
• Users can visualize these interactions using RasMol images and download scripts for further analysis.
• The server provides results in multiple formats for accessibility.

Conclusions:

• The NCI server is a valuable resource for researchers studying protein structure and stability.
• It facilitates the identification and analysis of non-canonical interactions through geometric principles.
• The tool enhances the understanding of molecular interactions in proteins.