Author

Yugyeong Cho

Korea Advanced Institute of Science and TechnologyORCID 0009-0005-6876-1038Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

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H. C. LeeiD· 1 shared Hahnbeom ParkiD· 1 shared Ho Min KimiD· 1 shared Jeongwon YuniD· 1 shared Martin SteineggeriD· 1 shared

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2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

H. C. LeeORCID

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1 paper

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJan 21, 2026

Protein folding stability estimation with explicit consideration of unfolded states

H. C. Lee, Yugyeong Cho, Jeongwon Yun…·Hahnbeom Park

IFUM is a deep learning model that improves folding stability prediction by jointly estimating free energy and unfolded state ensembles, showing better accuracy than previous methods.

9 citationstop 1%

protein structuredeep learning

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