Author

Youngmahn Han

Korea Institute of Science & Technology InformationORCID 0000-0001-9935-3516Unclaimed 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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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Aeri LeeiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 17, 2021

Predicting SARS-CoV-2 epitope-specific TCR recognition using pre-trained protein embeddings

Youngmahn Han, Aeri Lee

The paper presents a BERT-based model using self-supervised transfer learning to predict SARS-CoV-2 epitope-specific TCR recognition, showing high performance on independent datasets.

1 citation

protein sequencedeep learning

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