Author

Mengyun Chen

Huawei Technologies (China)ORCID 0009-0003-9937-364XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

Ningxi Ni· 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

Ningxi Ni

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2 papers

Recent·Most cited

BioinformaticsCommunications BiologyPeer-reviewedJul 18, 2025

Assisting and Accelerating NMR Assignment with Restrained Structure Prediction

Sirui Liu, Haotian Chu, Yuhao Xie…·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.

10 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 1, 2023

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

Shuo Liu, Jialiang Yu, Ningxi Ni…·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.

DOI 10.1101/2023.08.01.551396

deep learningdrug response / drug discovery

𝕏 PostBluesky