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.
RNA9Opennessseq2ribo
11365—Hybrid framework that predicts ribosome location profiles from mRNA sequence alone, pairing a structure-aware TASEP simulation with a Mamba polisher.
RNA18OpennessmRNA-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.
RNA10OpennessEVA
811—Generative RNA foundation model trained on 114 million full-length sequences for de novo design of tRNAs, aptamers, CRISPR guide RNAs, and mRNAs.
RNA72OpennessPro2RNA
———Multimodal reverse-translation language model that generates species-aware mRNA coding sequences from protein sequences, conditioned on host taxonomy.
RNAProtein10OpennessmRNA-GPT
41—GPT-style generative language model for mRNA coding sequences, pretrained across bacteria, eukaryotes, and archaea for de novo CDS design.
RNA39OpennessTrias
135471Encoder-decoder codon language model that reverse-translates a protein into species-specific coding sequences for synthetic mRNA design.
RNAProtein85Openness