Author

Wanting Feng

Shanghai Jiaotong 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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Chengwei Wu· 1 shared Haijiao Zhang· 1 shared He YangiD· 1 shared Jian ZhangiD· 1 shared Jinyin ZhaiD· 1 shared Jixiao HeiD· 1 shared Liying Wu· 1 shared Mingyu Li· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Chengwei Wu

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1 paper

Recent·Most cited

Cross-state representation learning enables prospective discovery of dynamic protein allosteric sites

Qiuhan Ren, Liying Wu, Jinyin Zha, Mingyu Li, Wanting Feng, Haijiao Zhang, He Yang, Rui Li, Xinyi Liu, Jixiao He, Wanyao Zhou, Yuchengze Song, Chengwei Wu, Qiancheng Shen, Xi Cheng, , Jian Zhang

This paper introduces a deep learning framework for identifying dynamic protein allosteric sites across different conformational states, achieving improved performance over existing methods.

bioRxiv · Nov 10, 2026 · PreprintBioinformatics