All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–7 of 7 filtered models
RNAJog
2——Autoregressive generative model that uses reinforcement learning to optimize mRNA codon sequences for MFE, CAI, and GC content.
RNA9OpennessMoE-Bind
2——Protein binder generator producing receptor-conditioned binders from sequence alone, using a sparse Mixture-of-Experts transformer with no 3D input.
Protein54OpennessVermeer
31—Generative microscopy foundation model that synthesizes in-silico fluorescence images of protein subcellular localization from amino-acid sequence.
ImagingProtein17OpennessProAR
———Autoregressive generative model for protein molecular dynamics that emits flexible-length trajectories frame by frame with anti-drifting sampling.
Protein19OpennessProtein language model that encodes sequences as discrete words from a learned vocabulary for zero-shot function inference and protein design.
Protein24OpennessGENERator-v2
4601—Family of autoregressive genomic foundation models that reconcile k-mer tokenization with single-nucleotide resolution at contexts up to 98k bp.
DNA & Gene86OpennessTEMPO
—135—Chinese University of Hong Kong, Shenzhen +1 otherNovember 7, 2025autoregressiveconformational_ensemble_generationgenerative+4Protein dynamics model that samples conformational ensembles autoregressively at slow and fast timescales, generalizing zero-shot to unseen proteins.
Protein25Openness