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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–3 of 3 filtered models
Autoregressive generative model that uses reinforcement learning to optimize mRNA codon sequences for MFE, CAI, and GC content.
Protein inverse folding model aligning ProteinMPNN by multi-objective preference optimization to improve developability without losing fold fidelity.
De novo peptide binder design framework that targets specific motifs, including disordered regions and conserved epitopes, from target sequence alone.