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arXiv — cs.AI preprintsInternational19 October 2026

GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding

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arXiv:2610.22992v1 Announce Type: new Abstract: Designing RNA sequences that fold into specific 3D structures is a fundamental challenge in therapeutics. Current RNA inverse folding methods typically condition on 3D backbone coordinates but the generation is limited to 1D discrete sequences. This ignores the continuous side-chain orientations, which are essential for overall structural stability. To address this issue, we explicitly introduce side-chain geometry into the RNA generative process. Unlike co-design frameworks that diffuse across separate raw spaces, we propose Geometric Optimized
— arXiv — cs.AI preprints

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