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RNA inverse design is fundamentally a topology-and-geometry co-design problem, and TANGO achieves a 52.7% improvement in secondary-structure fidelity by explicitly modeling this.
Forget native sequence recovery – RIDER uses reinforcement learning to directly optimize RNA sequence design for 3D structural similarity, achieving a 100% boost in structural accuracy.