ProteinsPlus Predict Binding Sites V3
Predict druggable binding sites using DoGSite3 algorithm with ligand-biased grid option. Enhanced version of DoGSiteScorer with improved binding site detection. Input can be a PDB ID with optional reference ligand for biased grid calculations. Returns predicted pockets with druggability scores, geometric properties, and detailed subpocket analysis. Supports ligand-based grid biasing to focus predictions around known binding sites. Useful for comprehensive binding site characterization and struc…
Overview
Predict druggable binding sites using DoGSite3 algorithm with ligand-biased grid option. Enhanced version of DoGSiteScorer with improved binding site detection. Input can be a PDB ID with optional reference ligand for biased grid calculations. Returns predicted pockets with druggability scores, geometric properties, and detailed subpocket analysis. Supports ligand-based grid biasing to focus predictions around known binding sites. Useful for comprehensive binding site characterization and structure-based drug design workflows. Example: Analyze 1KZK with ligand JE2_A_701 to identify druggable sites near the co-crystallized ligand.
Schema
JSON Schema the agent (or your API call) must match.
Examples (1)
Default ProteinsPlus Predict Binding Sites V3 call
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_ProteinsPlus_predict_binding_sites_v3
- Tool name
- ProteinsPlus_predict_binding_sites_v3
- Added
- 2026-04-30 22:47Z
- Tags
- tooluniverse