All Competitors

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

Showing 1–5 of 5 filtered models

  • RedNet

    3——
    Toyota Technological Institute at ChicagoMay 13, 2026generativegraph_neural_networkinverse_folding+3

    Multiscale graph neural network for fixed-backbone protein binder sequence design with a contrastive decoding algorithm to improve target selectivity.

    Protein
    83Openness

  • Hybrid Gated Fusion

    2——
    University College LondonApril 17, 2026gated_fusiongo_term_predictionmultimodal+5

    A multimodal deep-learning framework that fuses sequence, structure, text, and interaction embeddings to predict Gene Ontology function annotations, reaching state of the art on CAFA3.

    Protein
    84Openness

  • CLIPepPI

    1——
    Hebrew University of JerusalemMarch 20, 2026contrastive_learningpeptide_binding_predictionprotein_protein_interaction+5

    Dual-encoder contrastive model that embeds protein domains and peptides into a shared space to predict domain-peptide binding specificity at proteome scale.

    Protein
    50Openness

  • Boltz-1

    4K377—
    MITNovember 14, 2024drug_discoveryfoundation_modelprotein_protein_interaction+1

    Open-source deep learning model for biomolecular structure prediction achieving AlphaFold3-level accuracy, trained entirely on publicly available data.

    Protein
    97Openness

  • PINNACLE

    10768—
    Harvard UniversityAugust 1, 2024foundation_modelgraph_neural_networkprotein_protein_interaction+1

    Geometric deep learning model generating context-aware protein representations across 156 cell-type contexts from a multi-organ single-cell atlas.

    Single-cell
    83Openness