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Zhejiang University, Zhongguancun Academy
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A single multimodal model outperforms specialized approaches across 80 biological tasks, redefining the landscape of biological AI applications.
Chemical modifications to proteins, often missed by standard protein language models, can now be accurately captured and leveraged for improved biomolecule design, thanks to a new framework that fuses atomic-level details with broader sequence context.
