Author

Yuan Ma

Hong Kong Baptist UniversityPrimary ORCID profile (0000-0002-0207-3620 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Yuan MaiD1 paper · Harvard University

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aiping LüiD· 1 shared Alvaro Sierra Valverde· 1 shared Bao‐Ting ZhangiD· 1 shared Chi Ho Chan· 1 shared Eva Qiao· 1 shared Ge ZhangiD· 1 shared Hans RenataiD· 1 shared Haoyue Dong· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aiping LüORCID

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2 papers

Recent·Most cited

Programmable sequence-resolved in situ profiling of glycoRNA-protein interactomes by GlycoRNA-Map

Xinming Zhang, Yingying Zhu, Katelyn Baumer, Yao Lu, Yu Fu, Jiaohao Liao, Xiangli Shao, Yuduo Chang, Eva Qiao, Haoyue Dong, Alvaro Sierra Valverde, Hsin-Chih Yeh, Shu‐Hsia Chen, Hans Renata, Yuan Ma

This paper introduces GlycoRNA-Map, a method to profile glycoRNA-protein interactomes, revealing that glycoRNA sequences and cellular context shape their protein environments.

bioRxiv · Sep 30, 2026 · PreprintBiochemistry

AptaGPT: Advancing aptamer design with a generative pre-trained language model

Shi‐Jian Ding, Xin Yang, Chi Ho Chan, Yuan Ma, Sifan Yu, Luyao Wang, Aiping Lü, Bao‐Ting Zhang, Yuanyuan Yu, Ge Zhang

AptaGPT uses a generative pre-trained transformer to design aptamers, generating high-affinity sequences faster than traditional methods.

bioRxiv · May 23, 2024 · PreprintBioinformatics