Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–7 of 7 filtered models
OpenAI
OpenAI's first life-sciences frontier reasoning model, optimized for multi-step scientific workflows spanning protein engineering, genomics, drug-target discovery, and biochemistry reasoning.
Chinese Academy of Sciences
Autoregressive language model trained on 37 million intrinsically disordered region sequences from the AlphaFold Database, generating IDR sequences conditioned on surrounding structured context.
ByteDance AI Lab
Enhanced 464M-parameter version of Protenix with substantial gains in antibody-antigen complex prediction over v1, plus target-conditioned VHH-Fc generative design with up to 48% hit rates.
FutureHouse / Mila / McGill University
Multimodal diffusion model that co-designs protein sequence and 3D structure around arbitrary biomolecules, demonstrated by designing novel heme enzymes catalyzing carbene-transfer reactions.
Human Protein Atlas / KTH Royal Institute of Technology
Deep generative model simulating fluorescence microscopy images for all 12,800 human proteins across three landmark stains, providing proteome-wide virtual cell imaging at single-cell resolution.
Transformer-based protein language diffusion model generating all-atom intrinsically disordered protein conformational ensembles, validated against experimental NMR and SAXS data.
NVIDIA
Partially latent flow-matching model for joint generation of protein amino-acid sequence and full atomistic structure (backbone plus side chains) for proteins up to 800 residues.