Deep learning models for predicting RNA degradation via dual crowdsourcing. (arXiv:2110.07531v2 [stat.ML] UPDATED)

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 …

arxiv crowdsourcing deep learning learning ml rna