Author

H. C. Lee

Seoul National UniversityORCID 0009-0009-9596-5916Unclaimed ORCID profile · follow to get notified of new preprints

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H. C. Lee1 paper

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Approach:diffusion model· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Hahnbeom ParkiD· 2 shared Ho Min KimiD· 2 shared Dong Sun LeeiD· 1 shared Donghyeok MaiD· 1 shared H C ParkiD· 1 shared Jeongwon YuniD· 1 shared Jinsook AhniD· 1 shared Junyup LeeiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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10 top collaborators · 33 mutual co-author links

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2 shared papersBioengineering

Hahnbeom ParkORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintJul 20, 2026

ProteinSketch translates spatial intuition into protein design with bimanual interaction in VR

Donghyeok Ma, Junyup Lee, H. C. Lee…·Ho Min Kim

ProteinSketch enables interactive protein design in VR by translating spatial intuition into constraints for AI-driven protein structure generation.

DOI 10.64898/2026.07.19.739460

protein structuredeep learning

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