RGVAE, a stochastic-context-free-grammar VAE for RNA, can generate sequences satisfying design constraints, but the claimed outperformance over baselines is not convincingly demonstrated.
MolGPT: molecular generation using a transformer-decoder model
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Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder
RGVAE, a stochastic-context-free-grammar VAE for RNA, can generate sequences satisfying design constraints, but the claimed outperformance over baselines is not convincingly demonstrated.