biostudies-literatureUnknownWayment-Steele HKNIGMS NIH HHSMessenger RNA-based medicines 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 6043 102-130-nucleotide diverse RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less than 6 monthArXivarXiv:2110.07531v2https://www.ebi.ac.uk/biostudies/studies/S-EPMC8528079biostudies-literatureDeep learning models for predicting RNA degradation via dual crowdsourcing.PMC8528079R35 GM122579Steenwinckel BParticipants EIto TDas RVandewiele GGao JMao HWayment-Steele HKTunguz BFujikawa KKim DSKladwang WIshi KRomano JFares MWellington-Oguri ROzturk FTinti MOzturk EWatkins AMDemkin MChiu AHe SOnodera KNoumi TReade WLee YNicol JJAmer KfalseDeep learning models for predicting RNA degradation via dual crowdsourcing.Messenger RNA-based medicines 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 6043 102-130-nucleotide diverse RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less than 6 month2021-01-01T00:00:00Z2021 Oct2026-05-31T03:15:13.601Z2025-04-06T08:09:50.353ZS-EPMC852807934671698