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Dec 14, 2022 · Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced ...
Predictive models of RNA degradation through dual crowdsourcing. Hannah K ... Dual-crowdsourcing setup for creating predictive models of RNA degradation.
Oct 14, 2021 · These models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1588 nucleotides) with improved accuracy.
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 ...
Jun 11, 2024 · Prediction of RNA structure from ... degradation, and RNA secondary structure, with implications for modeling RNA tertiary structure.
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 ...
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Feb 27, 2024 · These models, named RibonanzaNet, outperformed previous algorithms in predicting RNA structure and degradation, suggesting potential ...
Oct 14, 2021 · These models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1588 nucleotides) with improved accuracy.
Dec 14, 2022 · Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced ...
RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning · Ribonanza: deep learning of RNA structure through dual ...