biostudies-literatureWayment-Steele HKStanford UniversityU.S. Department of Health & Human Services | National Institutes of Health1174-1184https://www.ebi.ac.uk/biostudies/studies/S-EPMC9771809biostudies-literatureUnknown4(12)Medicines based on messenger RNA (mRNA) hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a chemical degradation reaction called in-line hydrolysis. Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced machine learning competition ('Stanford OpenVaccine') on Kaggle, involving single-nucleotide resolution measurements on 6,043 diverse 102-130-nucleotide RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less tNature machine intelligenceDeep learning models for predicting RNA degradation via dual crowdsourcing.PMC9771809R35 GM122579RISESteenwinckel BIto TDas RVandewiele GGao JMao HChiu KYWayment-Steele HKTunguz BFujikawa KKim DSKladwang WIshi KRomano JFares MWellington-Oguri ROzturk FTinti MOzturk EWatkins AMDemkin MEterna ParticipantsHe SOnodera KNoumi TReade WLee YNicol JJAmer KfalseDeep learning models for predicting RNA degradation via dual crowdsourcing.Medicines based on messenger RNA (mRNA) hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a chemical degradation reaction called in-line hydrolysis. Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced machine learning competition ('Stanford OpenVaccine') on Kaggle, involving single-nucleotide resolution measurements on 6,043 diverse 102-130-nucleotide RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less t2022-01-01T00:00:00Z20222025-04-25T19:59:06.861Z2025-02-19T01:08:01.465ZS-EPMC97718093656796010.1038/s42256-022-00571-8