RNA Design

RNA design focuses on computationally creating RNA sequences with specific structural or functional properties, addressing the limitations and high costs of experimental approaches. Current research emphasizes the development of generative models, including flow-matching networks and transformer-based language models, to predict and design RNA sequences and 3D structures, often incorporating techniques from natural language processing and geometric deep learning. These advancements are significantly impacting fields like vaccine development, gene editing (via improved sgRNA design), and synthetic biology by enabling the efficient creation of customized RNA molecules for diverse applications.