Author

G. M. Xiang

Shanghai Jiao Tong 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 Organism:human· 1 Organism:mouse· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Boyang JiiD· 1 shared Cheng ZhangiD· 1 shared Eduard Johannes KerkhoveniD· 1 shared Haocheng Sun· 1 shared Haoyu WangiD· 1 shared Hongzhong LuiD· 1 shared Jens NielseniD· 1 shared Luchi XiaoiD· 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

Boyang JiORCID

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1 paper

Recent·Most cited

AlphaGEM Enables Precise Genome-Scale Metabolic Modelling by Integrating Protein Structure Alignment with deep-learning-based Dark Metabolism Mining

Weishang Han, Luchi Xiao, Haocheng Sun, G. M. Xiang, Qianxi Jia, Haoyu Wang, Boyang Ji, Cheng Zhang, Eduard Johannes Kerkhoven, Jens Nielsen, Hongzhong Lu

AlphaGEM constructs genome-scale metabolic models using structural alignment and deep learning, improving accuracy over existing methods for diverse species.

Nature Communications · Jul 16, 2026Peer-reviewedBioinformatics