Contact patterns between helices and strands of sheet define protein folding patterns

Area of Science:

• Structural biology
• Bioinformatics
• Computational biology

Background:

• Protein structures are complex and organizing them is crucial for understanding their function.
• Existing classification methods can be cumbersome for large-scale analysis.
• A need exists for a concise and computable representation of protein folding patterns.

Purpose of the Study:

• To develop a concise tableau representation for protein folding patterns.
• To create a database of protein structures based on this representation.
• To analyze protein architecture and facilitate fold identification.

Main Methods:

• Developed a tableau representation based on the order and contact patterns of secondary structures (helices and sheet strands).
• Generated a database from the Protein Data Bank using this representation.
• Analyzed statistical properties of secondary structure contacts in protein domains from ASTRAL.
• Validated the representation against SCOP classifications and studied its use in fold identification.

Main Results:

• The tableau representation is intelligible to both humans and computers.
• Statistical properties of secondary structure contacts were determined.
• The tableau accurately represents folding patterns in 98% of cases compared to SCOP classifications.
• Local protein structure was found to largely indicate complete folding topology.

Conclusions:

• The tableau representation offers a powerful tool for organizing and analyzing protein structures.
• This method provides a mineable database for studies in protein architecture.
• The representation aids in understanding protein folding topology and identifying folds.