Diverse Database and Machine Learning Model to narrow the generalization gap in RNA structure prediction
A. de Lajarte, Y. Martin des Taillades, C. Kalicki, F. Fuchs, J. Aruda, D. Salazar, M. Allan, C. L'Esperance-Kerckhoff, A. Kashi, F. Jossinet, S. Rouskin
The paper introduces a diverse RNA structure database and a deep learning model, eFold, which improves RNA secondary structure prediction by emphasizing structural diversity over database size.
bioRxiv · Jan 24, 2024Biochemistry