Programmable design of functional proteins from natural language
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.
Fengyuan Dai, Shiyang You, Yudian Zhu et al.
· bioRxiv · 31 citations
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