Author

So‐Ra Han

ORCID 0000-0003-2649-1795Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Louis DumontetiD· 2 shared Mingon KangiD· 2 shared Tae‐Jin OhiD· 2 shared Axel Prouvost· 1 shared Jun Hyuck Lee· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Louis DumontetORCID

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2 papers

Recent·Most cited

Bioinformaticsnpj Artificial IntelligencePeer-reviewedJan 20, 2026

Interpretable Kolmogorov-Arnold Networks for Enzyme Commission Number Prediction

Louis Dumontet, So‐Ra Han, Axel Prouvost…·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.

5 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 1, 2025

HIT-EC: Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer

Louis Dumontet, So‐Ra Han, Tae‐Jin Oh, Mingon Kang

HIT-EC improves EC number prediction with a hierarchical transformer model, showing better performance and interpretability than existing methods.

2 citations

protein sequencedeep learning

𝕏 PostBluesky