Author

Jun Hyuck Lee

Korea Polar Research Institute

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Mingon KangiD· 2 shared Tae‐Jin OhiD· 2 shared Aashish BhattiD· 1 shared Avinash YaganapuiD· 1 shared Axel Prouvost· 1 shared Hyun LeeiD· 1 shared Juyeon Park· 1 shared Ki‐Hwa Kim· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Mingon KangORCID

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2 papers

Recent·Most cited

Prediction of bacterial protein-compound interactions with only positive samples

Ki‐Hwa Kim, Avinash Yaganapu, Sai Kosaraju, Aashish Bhatt, Yun Luo, Sai Phani Parsa, Juyeon Park, Hyun Lee, Jun Hyuck Lee, Tae‐Jin Oh, M. Kang

This paper introduces BIN-PU, a PU learning framework for predicting bacterial protein-compound interactions using only positive samples, showing improved performance over existing methods.

Bioinformatics · Feb 6, 2026Peer-reviewedBioinformatics

Interpretable Kolmogorov-Arnold Networks for Enzyme Commission Number Prediction

Louis Dumontet, So‐Ra Han, Axel Prouvost, Jun Hyuck Lee, Tae‐Jin Oh, Mingon Kang

This paper integrates Kolmogorov-Arnold Networks (KANs) into deep learning models for EC number prediction, showing improved performance and introducing an interpretation method to identify relevant features.

npj Artificial Intelligence · Jan 20, 2026Peer-reviewedBioinformatics