Author

Fei Yang

Zhejiang LabORCID 0000-0003-4802-3191Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Fei Yang5 papers · Kao Corporation (Japan)

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aimin PaniD· 1 shared Anni Li· 1 shared Bin Cui· 1 shared Fajie YuaniD· 1 shared Fangyu WangiD· 1 shared Guangyong CheniD· 1 shared Guibing GuoiD· 1 shared Hanqun CaoiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Aimin PanORCID

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2 papers

Recent·Most cited

InstructPLM: Aligning Protein Language Models to Follow Protein Structure Instructions

Jiezhong Qiu, Junde Xu, Jie Hu, Hanqun Cao, Liya Hou, Zi-Jun Gao, Xinyi Zhou, Anni Li, Xiujuan Li, Bin Cui, Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Aimin Pan, , Guangyong Chen

InstructPLM aligns a protein language model with structure instructions to generate diverse proteins, improving performance over existing models in sequence recovery and activity.

bioRxiv · Apr 17, 2024 · PreprintBioinformatics

SEQUENCE VS. STRUCTURE: DELVING DEEP INTO DATA DRIVEN PROTEIN FUNCTION PREDICTION

Xiaochen Tian, Ziyin Wang, Kevin Yang, Jin Su, Hanwen Du, Qiuguo Zheng, Guibing Guo, Min Yang, Fei Yang, Fajie Yuan

The paper compares sequence-based and structure-based methods for predicting protein function, finding that structure-based approaches can offer better accuracy when using high-quality protein structures.

bioRxiv · Apr 2, 2023 · PreprintBioinformatics