Author

Byung-hyun Bae

Seoul National University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Chaok SeokiD· 1 shared Hahnbeom ParkiD· 1 shared Jin Sun ChoiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Chaok SeokORCID

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1 paper

Recent·Most cited

Physics-inspired accuracy estimator for model-docked ligand complexes

Byung-hyun Bae, Jin Sun Choi, Chaok Seok, Hahnbeom Park

The paper introduces DENOISer, a deep neural network that improves scoring accuracy in model docking by incorporating physical knowledge, outperforming existing tools on benchmark sets.

Journal of Chemical Theory and Computation · Feb 10, 2025Peer-reviewedBioinformatics