Ribonanza: deep learning of RNA structure through dual crowdsourcing
Shujun He, Rui Huang, Jill Townley, Rachael C. Kretsch, Thomas G. Karagianes, David B.T. Cox, H. Blair, Dmitry Penzar, Valeriy Vyaltsev, Elizaveta Aristova, Arsenii O. Zinkevich, Artemy Bakulin, Hoyeol Sohn, Daniel Krstevski, Takaaki Fukui, , Rhiju Das
The paper introduces RibonanzaNet, a deep learning model trained on crowdsourced RNA chemical mapping data to predict RNA structure and related properties.
bioRxiv · Feb 24, 2024 · PreprintBiophysics