All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
RNAJog
2——Autoregressive generative model that uses reinforcement learning to optimize mRNA codon sequences for MFE, CAI, and GC content.
RNA9OpennessRNARL
———Reinforcement-learning generative framework for multi-objective RNA codon optimization that generalizes across six species and five RNA types.
RNA4OpennessProtmRNA
2——Codon-level mRNA language model adapted from ESM-2 650M by swapping amino-acid tokens for codon tokens, transferring protein knowledge to mRNA tasks.
RNA11OpennessmRNA-GPT
42—Autoregressive model for therapeutic mRNA design that jointly generates 5' UTR, CDS, and 3' UTR, pretrained on 30 million full-length natural mRNAs.
RNA10OpennessmRNA-GPT
41—GPT-style generative language model for mRNA coding sequences, pretrained across bacteria, eukaryotes, and archaea for de novo CDS design.
RNA39OpennessCaLM
5445—Codon-level BERT model that captures genomic signals invisible to amino acid models, outperforming billion-parameter PLMs with just 86M parameters.
Protein66Openness