Author

Haotian Chu

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 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Assay:GWAS summary statistics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Changlin TianiD· 1 shared Chenghao Wang· 1 shared Fangjing MuiD· 1 shared Fangming WuiD· 1 shared Hui FuiD· 1 shared Jiachen WeiiD· 1 shared Jun ZhangiD· 1 shared Junbin LiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Changlin TianORCID

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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

SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences

Zhaoping Xiong, Xintao Fang, Haotian Chu, Xiaozhe Wan, Liwei Liu, Yameng Li, Wenkai Xiang, Mingyue Zheng

SciMind is a multimodal model designed to handle pharmaceutical sciences data, showing good performance in text comprehension and molecular tasks.

Proceedings of the 1st Workshop on Language + Molecules (L+M 2024) · Jan 1, 2024Peer-reviewedBioinformatics