Deep generative model of RNAs based on variational autoencoder with context-free grammar.

Abstract excerpt

MOTIVATION: RNA plays a crucial role in cellular functions, and designing functional RNA sequences is essential for both scientific exploration and bioengineering applications. Conventional RNA design approaches typically assume a shared secondary structure among designed sequences. However, even closely related RNAs can adopt different secondary structures, particularly when artificial mutations are introduced....

Topics

• RNA
• Nucleic Acid Conformation
• Computational Biology
• Sequence Analysis, RNA
• Algorithms
• Deep Learning
• Mutation