ArchiP

ArchiP detects and analyzes protein architectures, focusing on all-β and α/β classes to provide an objective classification of protein folds.

Key Features:

• Enhanced β-sheet detection: Reinterprets β-sheet detection relative to DSSP and Stride by redefining β-sheets into holistic units using hydrogen-bond patterns and geometrical constraints.
• β-sheet map representation: Produces a β-sheet map table that describes structural features of β-sheets within protein domains.
• Algorithmic validation: Tested on 93 well-defined all-β and α/β SCOP protein domain families and reported 93% accuracy in predicting domain architectures.
• Objective classification: Accounts for variability in β-sheets and α-helices composition and geometry to reduce reliance on expert judgment in fold description.

Scientific Applications:

• Protein structure classification: Enables objective assignment of protein folds and domain architectures.
• Structural biology: Supports analysis of folding patterns and structural nuances in all-β and α/β proteins.
• Drug design: Provides detailed β-sheet characterization relevant to structure-based drug design efforts.
• Evolutionary biology: Aids comparative and evolutionary studies of protein fold families through β-sheet architecture analysis.
• Domain architecture prediction: Facilitates prediction and evaluation of domain architectures based on β-sheet organization.

Methodology:

ArchiP applies an algorithm that treats β-sheets as holistic objects, using hydrogen-bond patterns and geometrical constraints to detect β-sheets and generate β-sheet maps.