Article

RNASTOP: A Deep Learning Framework for mRNA Chemical Stability Prediction and Optimization

2026-03-20

Abstract excerpt

Messenger RNA (mRNA) vaccines offer promising therapeutics for combating various diseases, yet their inherent chemical instability hampers their long-term efficacy. Although several methods have been developed to predict mRNA degradation, they exhibit limited accuracy and lack the capability for rational sequence optimization. Here, we propose RNASTOP, a novel framework integrating deep learning with heuristic sea...

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Literature Corpus work: 2aa33fa3-ad86-5d7e-a4e4-b8f9c510cb28
DOI: 10.64898/2026.03.18.712573

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