RNA inverse folding model conditioned on a context-free-grammar parse tree of the target secondary structure, with explicit GC-content control.
Multimodal reverse-translation language model that generates species-aware mRNA coding sequences from protein sequences, conditioned on host taxonomy.
mRNA language foundation model trained on ~115M protein-coding sequences across the tree of life, unifying mRNA perception and generation.
Kitasato University / University of Tokyo / National Institute of Advanced Industrial Science and Technology
Released December 24, 2025
GPT-style generative language model for mRNA coding sequences, pretrained across bacteria, eukaryotes, and archaea for de novo CDS design.