RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation

doi:10.1371/journal.pcbi.1013541

RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation

Fig 7

Stability analysis of RNAtranslator generated RNAs compared to natural RNAs.

Minimum Free Energy (MFE) distributions is shown in the first row, where RNAtranslator-generated RNAs achieve stability levels comparable to natural binding RNAs, reinforcing their thermodynamic favorability. Ensemble Free Energy () distributions, further validating the structural stability of RNAtranslator-generated RNAs in a thermodynamic ensemble. GC content comparison, indicating that RNAtranslator-generated RNAs closely match the natural binding RNAs, suggesting structural robustness. Distribution of RNA sequence lengths across different groups, showing that RNAtranslator-generated RNAs exhibit a broad yet biologically relevant length distribution.

doi: https://doi.org/10.1371/journal.pcbi.1013541.g007