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A single generative model now co-designs RNA sequence and structure, achieving state-of-the-art designability by learning from a massive, integrated structural corpus.
Learning protein folding's spatial logic unlocks significant gains in LLM reasoning across diverse domains, not just structure prediction.
AAMFM achieves unprecedented accuracy in functional antibody design by effectively pairing antibody sequences with antigen contexts, setting a new benchmark in the field.
