Publications

2026

F Dai, J Su, Q Tan, H Yang, X Zhou , F Yuan

Learns domain co-occurrence patterns to guide multidomain protein design beyond the PDB.

J Su*, Y He*, S You*, S Jiang, X Zhou , X Zhang, Y Wang, et al.

Trimodal contrastive model unifying sequence, structure, and function text for billion-scale protein search.

J Su, Z Li, T Tao, C Han, Y He, F Dai, Q Yuan, Y Gao, T Si, X Zhang, X Zhou , et al.

No-code Colab platform for training, sharing, and collaborating on protein ML models.

Y Zhou, J Su, J Zhang, W Hu, T Tao, G Li, X Zhou , L Fan, F Yuan

Multi-agent system orchestrating dynamic computational workflows from 65+ protein engineering tools.

H Qian*, Y Wang*, X Zhou *, T Gu, H Wang, H Lyu, Z Li, et al.

ESM-1b semantic mining discovers multicopper oxidases with superior catalytic and environmental-remediation properties from UniProt.

X Zhou *, C Han*, Y Zhang*, H Du*, J Tian*, J Su, R Liu, K Zhuang, S Jiang, et al.

Interactive protein-language model answering natural-language queries over sequence and structure.

F Dai, S You, Y Zhu, Y Gao, L Fu, X Zhou , J Su, C Wang, Y Fan, et al.

16B-parameter framework for instruction-driven structure generation and sequence design.

Y He, X Zhou , F Yuan, X Chang

Protocol for PLM-guided TDG optimization with zero-shot prediction and experimental validation.

Y He*, X Zhou *, C Chang, G Chen, W Liu, G Li, X Fan, M Sun, C Miao, et al.

PLM-guided optimization enables programmable T→G/C base editing with few-shot validation.

J Su, C Han, Y Zhou, J Shan, X Zhou , F Yuan

General-purpose PLM with structure-aware vocabulary trained on ~40M sequence–structure pairs.