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Won Dong Lee

Yonsei University · Biochemistry, Genetics and Molecular Biology

About the Lab

Professor Won Dong Lee's research lab specializes in computational and systems biology, focusing on advancing metabolomics through artificial intelligence. The lab develops deep learning models, particularly chemical language models, to decode the uncharted regions of the mammalian metabolome and predict novel metabolites. Their work bridges bioinformatics, mass spectrometry, and systems metabolism to accelerate metabolite identification and structural elucidation. The lab also explores the application of AI in understanding metabolic pathways and disease mechanisms.

metabolomicschemical language modelsAI in biologymetabolite predictionsystems biology

Research Overview

Papers
1
Total Citations
10
Papers (5y)
1
Primary Field
Biochemistry, Genetics and Molecular Biology

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
1total
2026
Citations per year (5y)
10total
2026

Selected Papers

1
1
Article|10 citations·2026
Language model-guided anticipation and discovery of mammalian metabolites
Hantao Qiang, Fei Wang, Wenyun Lu, Xi Xing, Hahn Kim, Sandrine A. M. Mérette, Lucas B. Ayres, Eponine Oler, Jenna E. AbuSalim, Asael Roichman, Michael Neinast, Ricardo A. Cordova
SJR Q1NatureOA

Despite decades of study, large parts of the mammalian metabolome remain unexplored1. Mass spectrometry-based metabolomics routinely detects thousands of small molecule-associated peaks in human tissues and biofluids, but typically only a small fraction of these can be identified, and structure elucidation of novel metabolites remains challenging2–4. Biochemical language models have transformed the interpretation of DNA, RNA and protein sequences, but have not yet had a comparable impact on unde

Molecular BiologyBiochemistry, Genetics and Molecular Biology

Research Areas

Molecular Biology

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