Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models
The work introduces a direct and efficient algorithm for designing stable RNA sequences that code for a specific protein while respecting codon constraints. It uses dynamic programming combined with tensor-based models of secondary structure to sample sequences from a Boltzmann distribution, enabling principled stability optimization and exact computation of statistical quantities like base pair probabilities.