All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–2 of 2 filtered models

  • Kanzi

    384—
    CaltechOctober 3, 2025autoencoderflow_matchinggenerative+4

    Flow-based protein structure tokenizer, a diffusion autoencoder replacing SE(3)-invariant components with global coordinates and standard attention.

    Protein
    63Openness

  • GCP-VQVAE

    432—
    University of MissouriOctober 1, 2025graph_neural_networkprotein_structurerepresentation_learning+4

    Protein structure tokenizer that maps 3D backbones to discrete tokens with an SE(3)-equivariant encoder preserving orientation and chirality.

    Protein
    86Openness