Author

Yadan Niu

Zhejiang University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:large language model· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Binbin CheniD· 1 shared Haoran YuiD· 1 shared Huajun CheniD· 1 shared Jiawen CaoiD· 1 shared Kehua FengiD· 1 shared Keyan DingiD· 1 shared Ming Qin· 1 shared Ningyu ZhangiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperSynthetic Biology

Binbin ChenORCID

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1 paper

Recent·Most cited

Multi-purpose controllable protein generation via prompted language models

Zeyuan Wang, Binbin Chen, Keyan Ding, Jiawen Cao, Ming Qin, Yadan Niu, Xiang Zhuang, Xiaotong Li, Kehua Feng, Tong Xu, Ningyu Zhang, Haoran Yu, Qiang Zhang, Huajun Chen

This paper introduces PROPEND, a protein design method using prompted language models to directly control multiple properties, achieving higher functional recovery than traditional pipelines.

bioRxiv · Nov 17, 2024 · PreprintSynthetic Biology