Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–4 of 4 filtered models
Molecular docking model that predicts protein-ligand binding poses with multi-stage Riemannian flow matching, yielding physically valid geometry.
Protein-ligand docking model for high-throughput virtual screening, predicting binding poses with graph neural networks at low computational cost.
Molecular docking framework that poses several ligands sharing one protein pocket at once, using their consistency to sharpen each prediction.
Protein-ligand docking framework that picks the binding pocket by contrastive alignment, then refines the pose with bi-level iterative refinement.