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AutoNovo: Agentic Program Search Discovers Transferable Nucleic Acid Design Algorithms

Shor, Joel et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningquantitative-methods
In-silico optimization of nucleic acids relies on predictive oracles that imperfectly capture biological function, so sequences optimized against one model may exploit model-specific artifacts and fail to generalize to independent models. Recent studies have shown that not all designers generalize e
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