pyScoMotif
pyScoMotif: 3D protein structural motif detection and comparison
pyScoMotif identifies similar three-dimensional structural motifs across large protein structure datasets by detecting conserved geometrical arrangements of amino acid residues.
Key Features:
- 3D Motif Detection: Detects structural motifs based on spatial geometry of protein residues to identify conserved arrangements.
- Flexible Search Criteria: Supports exact motif matching and mutated motifs with position-specific residue substitutions.
- Scalable Computation: Executes on diverse computational environments, including local machines and compute clusters.
Scientific Applications:
- Catalytic Site Identification: Identifies catalytic sites to characterize enzyme function and support drug design.
- Drug Target Discovery: Detects binding-region motifs to aid identification of potential therapeutic targets.
- Structural Conservation Analysis: Compares conserved structural features across proteins to assess evolutionary and functional relationships.
Methodology:
Analyzes protein structures to extract residue coordinates, evaluates spatial geometrical relationships among residues, and matches motif patterns across datasets using defined geometric constraints and optional position-specific substitutions.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 2/26/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Cia G, Kwasigroch J, Stamatopoulos B, Rooman M, Pucci F. pyScoMotif: discovery of similar 3D structural motifs across proteins. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad158. PMID:38023327. PMCID:PMC10640396.