Won Dong Lee
Yonsei University · 生化学・遺伝学・分子生物学
研究室紹介
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.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1Despite 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