sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure
Leandro A. Bugnon, Leandro Ezequiel Di Persia, Matias F. Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina S. Stegmayer, Diego Humberto Milone
sincFold is a deep learning model that predicts RNA secondary structure contact matrices from sequences, outperforming existing methods on benchmark datasets.
Briefings in Bioinformatics · May 23, 2024Peer-reviewedBioinformatics