All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–2 of 2 filtered models
RNAJog
2——Autoregressive generative model that uses reinforcement learning to optimize mRNA codon sequences for MFE, CAI, and GC content.
RNA9OpennessRNARL
———Shanghai Jiao Tong University +2 othersJune 13, 2026codon_optimizationrna_designsequence_generation+7Reinforcement-learning generative framework for multi-objective RNA codon optimization that generalizes across six species and five RNA types.
RNA4Openness