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Ernie-Switcher: RNA foundation model-guided design of programmable RNA devices in a navigable landscape.
Bioinformatics · · Journal Article
Lei, Li + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Ernie-Switcher enables RNA toehold switch sequence optimization, achieving ON/OFF expression ratios up to 35-fold in Escherichia coli while supporting feasible threshold navigability of 86.4%.
- Why it matters: Programmable RNA device design is hard due to the vast, nonlinear sequence–structure–function landscape, limiting scalable, data-driven optimization.
- What they did: The framework couples RNAErnie-derived sequence–phenotype representations, a theoretical measure of RNA landscape navigability, and biophysical constraints to keep optimization trajectories plausible.
- The result: Validation on RNA toehold switches shows a lower bound on threshold navigability of 86.4%, and experimentally optimized switches reach up to 35-fold ON/OFF expression in Escherichia coli, enabling scalable engineering of high-performance RNA devices.
The findingWhy it mattersWhat they didThe result