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Open access Aug 2026

Hoberman-Inspired Reconfigurable DNA Origami Ring for Nanoscale Capture.

Dynamic DNA origami systems have enabled programmable nanoscale motion and target-responsive structural transformations for applications in molecular capture, sensing, and nanorobotics. However, achieving programmable interactions with targets of varying sizes and morphologies remains challenging for many dynamic DNA n...

Henry Wisniewski, Minu Saji, Moisés Reyes et al. · 0 citations
#machine learning Preprint Aug 2026

RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling

Frozen RNA-type evaluations show that RIBOSPAN learns state-of-the-art RNA representations, with a particularly clear advantage on long RNAs, and emerges as the strongest encoder-only RNA foundation model, achieving state-of-the-art performance in both full-transcript biological property prediction and zero-shot mutati...

Ziyuan Wang, Bo-Hao Tang, Fei Zhang et al. · 0 citations

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