Author

Kyunghwan Yeo

Seoul National UniversityORCID 0009-0000-4325-1529Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:variational autoencoder· 1

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Dongwoo KimiD· 1 shared Juyong LeeiD· 1 shared sim jaeminiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Dongwoo KimORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 18, 2026

LEN-Seek: Fast and scalable ligand binding-site similarity search in the latent space of an SE(3)-invariant graph VAE

Kyunghwan Yeo, Dongwoo Kim, sim jaemin, Juyong Lee

LEN-Seek is a method for ligand binding-site similarity search using a graph VAE that encodes structural information into a latent space, achieving faster and more scalable results than existing methods.

DOI 10.64898/2026.08.14.744759

protein structurevariational autoencoder

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