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.