Author

Sung Ju Hwang

Korea Advanced Institute of Science and TechnologyORCID 0000-0002-9675-2324Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:diffusion model· 1 Organism:plant (other)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Byung‐Ha OhiD· 1 shared Calvin SamueliD· 1 shared Dongki Kim· 1 shared Dongsu HaniD· 1 shared Eugene Choi· 1 shared Gyu Rie LeeiD· 1 shared Ho Min KimiD· 1 shared Hyeongwoo KimiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMolecular Biology

Byung‐Ha OhORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintOct 28, 2026

Predicting conformational changes induced by biomolecular interactions

YeongNam Bae, Jinheon Baek, Eugene Choi…·Byung‐Ha Oh

This paper introduces K-Fold, a method that improves prediction of conformational changes in protein complexes by modeling structural transitions from unbound to bound states.

DOI 10.64898/2026.10.26.760299

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 21, 2023

READRetro: Natural Product Biosynthesis Planning with Retrieval-Augmented Dual-View Retrosynthesis

Seul Lee, Taein Kim, Min‐Soo Choi…·Sang‐Gyu Kim

READRetro is a bio-retrosynthesis tool that improves pathway prediction for natural products by balancing generalizability and memorability, outperforming existing models.

1 citation

plant (other)deep learning

𝕏 PostBluesky