Author

Seeun Kim

Seoul National UniversityORCID 0000-0002-1949-451XUnclaimed ORCID profile · follow to get notified of new preprints

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Seeun Kim1 paper · Seoul National University

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Chaok SeokiD· 1 shared Hahnbeom ParkiD· 1 shared Hyeonuk WooiD· 1 shared Jiho Sim· 1 shared Sung Won OhiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBiochemistry

Chaok SeokORCID

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1 paper

Recent·Most cited

Deep learning molecular interaction motifs from Receptor structure alone

Seeun Kim, Sung Won Oh, Hyeonuk Woo, Jiho Sim, Chaok Seok, Hahnbeom Park

This paper introduces MotifGen, a deep learning model that predicts molecular interaction motifs from receptor structures, enabling peptide binder design and small-molecule binding site prediction.

Journal of Cheminformatics · Jul 30, 2025Peer-reviewedBiochemistry