Predicting RNA degradation is a fundamental task in designing RNA-based therapeutic agents. Dual crowdsourcing efforts for dataset creation and machine learning were organized to learn biological rules and strategies for predicting RNA stability.
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The author thanks L. Padgitt-Cobb and J. Valencia for reviewing this manuscript and providing valuable edits.
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Hendrix, D.A. Crowdsourcing to predict RNA degradation and secondary structure. Nat Mach Intell 5, 101–103 (2023). https://doi.org/10.1038/s42256-023-00615-7
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DOI: https://doi.org/10.1038/s42256-023-00615-7
