Author

Seung-woo Seo

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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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Eunyoung ParkiD· 1 shared Jin-Han KimiD· 1 shared Minjun ParkiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Eunyoung ParkORCID

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1 paper

Recent·Most cited

EpiBERTope: a sequence-based pre-trained BERT model improves linear and structural epitope prediction by learning long-distance protein interactions effectively

Minjun Park, Seung-woo Seo, Eunyoung Park, Jin-Han Kim

EpiBERTope is a BERT-based model that predicts linear and structural epitopes from protein sequences, achieving high AUC scores and outperforming traditional models.

bioRxiv · Feb 27, 2022 · PreprintBioinformatics