INTERCAAT
INTERCAAT identifies and classifies atomic interactions in macromolecular interfaces to map intermolecular contacts for structural and functional analysis.
Key Features:
- Voronoi tessellation-based interaction definition: Uses Voronoi tessellation with each atom as a seed point to determine spatial relationships and partition space around atoms for interaction mapping.
- Hyperplane sharing and distance criteria: Defines contacts when atoms share a Voronoi hyperplane and their distance is less than the sum of their Van der Waals radii plus the diameter of a solvent molecule.
- Adaptive atom classification: Implements an adaptive atom classification system to accommodate diverse atom types across macromolecular interfaces.
- Interaction filtering based on compatibility: Applies compatibility-based filtering to retain physically and chemically relevant contacts.
Scientific Applications:
- Protein-Protein Interaction Studies: Produces detailed atomic contact maps to analyze protein complexes and interface mechanisms.
- Drug Design and Discovery: Provides precise descriptions of intermolecular contacts to inform design of molecules that target or modulate interfaces.
- Macromolecular Complex Analysis: Maps interfaces within large assemblies to study structural organization and intermolecular networks.
Methodology:
Computational geometry via Voronoi tessellation partitions space around atoms; interactions are detected by Voronoi hyperplane sharing combined with distance thresholds defined as the sum of Van der Waals radii plus a solvent molecule diameter, followed by adaptive atom classification and compatibility-based filtering, grounded in molecular physics.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux
- Programming Languages:
- Python
- Added:
- 2/24/2022
- Last Updated:
- 2/24/2022
Operations
Publications
Grudman S, Fajardo JE, Fiser A. INTERCAAT: identifying interface residues between macromolecules. Bioinformatics. 2021;38(2):554-555. doi:10.1093/bioinformatics/btab596. PMID:34499117. PMCID:PMC8722752.