Large language models rely heavily on human text, which often conveys surface answers rather than the spatial and structural logic behind them. Protein folding is a natural testbed, because one solved structure yields thousands of exactly checkable spatial and topological statements. We ask: can learning to fold protei...
Yong Liu, Zhan-Peng Shi, Yi-Zhou Dang et al.· 0 citations
The results show that the integrated NLP feedback system can provide real-time and refined revision suggestions, shorten feedback cycles, standardize writing logic, and improve students’ writing proficiency and autonomous learning ability.
AAMFM, an Antigen-specific Antibody Multimodal Foundation Model that learns unified representations of antibody sequences and structures conditioned on antigen context, achieves state-of-the-art performance in functional antibody design, revealing its potential for antigen-specific antibody engineering.
Xiaoliang Shi, Zichen Wang, Runze Ma et al.· arXiv.org· 0 citations
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