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Designing functional biomolecules with multiple optimized properties under hard biochemical constraints is now achievable with a single guided editor.
Expanding Flow Maps redefine generative modeling by allowing output size to be a learned, controllable parameter, enabling unprecedented flexibility in generation tasks.
Most enzyme specificity models fail to outperform basic sequence alignment methods, highlighting a critical gap in predictive capabilities.