SA-Mot

SA-Mot extracts and localizes structural motifs in protein loops to analyze recurrent and conserved loop structures that contribute to protein folding and function.

Key Features:

• Structural Word notion: Uses the "structural words" concept to systematically extract structural motifs from uni-dimensional sequences corresponding to protein loops.
• Exhaustive motif extraction: Enumerates all possible structural motifs within loop sequences to capture both functional and structurally redundant motifs.
• Statistical motif description: Computes sequence and structural statistics for identified motifs using extensive loop datasets and SCOP superfamilies.
• Motif localization and descriptors: Associates extracted motifs with spatial localization in target structures and provides descriptive parameters for each motif.

Scientific Applications:

• Structure–function analysis: Identification and characterization of loop motifs to inform assessments of regions important for protein function and folding.
• Evolutionary and SCOP-based comparisons: Analysis of conserved motifs across loop datasets and SCOP superfamilies to study structural conservation and redundancy.
• Protein engineering and design: Use of motif descriptors and conserved structural patterns to guide loop design and modification strategies.
• Disease and misfolding studies: Mapping of conserved or recurrent loop motifs to investigate mechanisms linked to protein misfolding and related diseases.

Methodology:

Systematic extraction of structural motifs using the "structural words" approach from uni-dimensional loop sequences, followed by statistical analysis of sequence and structural parameters across loop datasets and SCOP superfamilies and localization of motifs within target structures.