Author

Ningxi Ni

Huawei Technologies (China)

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Mengyun CheniD· 2 shared Changlin TianiD· 1 shared Chen Xu· 1 shared Chenghao Wang· 1 shared Fangjing MuiD· 1 shared Fangming WuiD· 1 shared Haotian Chu· 1 shared Huanxiang LiuiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Mengyun ChenORCID

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2 papers

Recent·Most cited

Assisting and Accelerating NMR Assignment with Restrained Structure Prediction

Sirui Liu, Haotian Chu, Yuhao Xie, Fangming Wu, Fangjing Mu, Jiachen Wei, Ningxi Ni, Chenghao Wang, Jun Zhang, Mengyun Chen, Junbin Li, Yu Fan, Hui Fu, Shenlin Wang, Changlin Tian, , Yi Qin Gao

This paper introduces RASP, a deep learning model that improves structure prediction with restraints, and FAAST, a pipeline that accelerates NMR NOESY peak assignment and structure ensemble generation.

Communications Biology · Jul 18, 2025Peer-reviewedBioinformatics

A versatile framework for drug-target interaction prediction by considering domain specific features

Shuo Liu, Jialiang Yu, Ningxi Ni, Zidong Wang, Mengyun Chen, Yuquan Li, Chen Xu, Yahao Ding, Jun Zhang, Xiaojun Yao, Huanxiang Liu

This paper introduces E-DIS, a framework for drug-target interaction prediction that improves generalization to out-of-distribution data by combining domain-specific and domain-generic features.

bioRxiv · Aug 1, 2023 · PreprintBioinformatics