All Competitors

An RNA language model trained by self-supervised masked-nucleotide prediction on ~50,000 IRES sequences that predicts secondary-structure features rivaling experimental chemical probing.

A hybrid simulation and machine-learning framework that predicts ribosome location profiles from mRNA sequence alone, combining a structure-aware TASEP with a Mamba polisher.

A transformer language model pretrained on 5' UTR sequences across five species to predict mRNA translation efficiency, ribosome loading, and expression levels.