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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–7 of 7 filtered models
Generative protein-dynamics model that predicts short molecular dynamics trajectories with rectified flow matching over residue frames and torsions.
Autoregressive generative model for protein molecular dynamics that emits flexible-length trajectories frame by frame with anti-drifting sampling.
Diffusion model that generates continuous-time, all-atom biomolecular trajectories, reproducing conformational kinetics far more cheaply than MD.
Energy-based model of protein conformational space, turning a diffusion model into a statistical potential for structure ranking and mutation scoring.
Protein conformational sampling framework that steers a retrained OpenFold with diverse secondary-structure predictions to recover alternative states.
Molecular dynamics emulator generating time-coarsened trajectories for small molecules, peptides, and proteins from one shared atomic representation.
Protein motion prediction from sequence alone, mapping language model embeddings to continuous 3D displacement vectors with a lightweight CNN.