visGReMLIN

visGReMLIN identifies and visualizes conserved atomic-level motifs in 3D protein–ligand interfaces to characterize molecular recognition determinants between proteins and non-proteic small-molecule ligands.

Key Features:

• Graph mining-based motif detection: Employs graph mining techniques to identify recurring atomic-level motifs within 3D protein–ligand interfaces.
• Atomic-level motif visualization: Maps detected motifs onto 3D protein–ligand coordinates to display specific atoms and residues involved in interactions.
• Support for ligand prediction and target identification: Highlights key atoms and residues implicated in binding to inform ligand prediction, target identification, and lead discovery.

Scientific Applications:

• Motif detection and analysis: Identification of conserved structural motifs that govern molecular recognition and binding specificity.
• Comparative studies: Validation and comparison of detected motifs against experimentally and computationally determined results, including recovery of literature-reported patterns and discovery of novel motifs.
• Dataset exploration: Analysis of collections of protein–ligand complexes to extract recurrent interaction determinants across datasets.

Methodology:

Applies graph mining techniques to atomic-resolution representations of 3D protein–ligand interfaces and integrates results with an interactive visualization framework focused on atomic-level interaction details.