All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
ATOMICA
—3—Geometric deep learning model that learns atomic-scale representations of molecular interfaces across proteins, small molecules, and nucleic acids.
ProteinSmall moleculeRNA88OpennessConGLUDe
———Johannes Kepler University LinzJanuary 14, 2026binding_site_predictioncontrastive_learningdrug_discovery+7Contrastive geometric model unifying structure- and ligand-based drug design for zero-shot virtual screening, target fishing, and pocket selection.
ProteinSmall molecule8OpennessSequence-based binding site predictor spanning protein-DNA, protein-RNA, protein-protein, and antibody-antigen interfaces via a fine-tuned ProtT5.
Protein23OpennessNyxBind
1—2Hong Kong University of Science and TechnologyOctober 21, 2025bertbinding_site_predictioncontrastive_learning+5Transcription factor binding site prediction model that refines a DNABERT-2 backbone with contrastive learning across diverse TFBS types.
DNA & Gene40OpennessmoPPIt
144—De novo peptide binder design framework that targets specific motifs, including disordered regions and conserved epitopes, from target sequence alone.
Protein18OpennessESMBind & QBind
8142LoRA and QLoRA fine-tuning of ESM-2 for token-level prediction of protein binding sites and post-translational modification sites from sequence alone.
Protein93Openness