Author

Seojin Bang

Arizona State University

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Heewook LeeiD· 2 shared Michael Cai· 1 shared Pengfei ZhangiD· 1 shared Pengfei ZhangiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Heewook LeeORCID

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2 papers

Recent·Most cited

Self-Contemplating In-Context Learning Enhances T Cell Receptor Generation for Novel Epitopes

Pengfei Zhang, Seojin Bang, Heewook Lee

This study enhances T cell receptor generation for novel epitopes using in-context learning and self-contemplation prompting, achieving performance comparable to or better than ground-truth TCRs.

bioRxiv · Jan 27, 2025 · PreprintBioinformatics

Context-Aware Amino Acid Embedding Advances Analysis of TCR-Epitope Interactions

Pengfei Zhang, Seojin Bang, Michael Cai, Heewook Lee

The paper introduces context-aware amino acid embeddings for TCR sequences, showing improved performance in binding affinity prediction and clustering compared to existing methods.

bioRxiv · Apr 12, 2023 · PreprintBioinformatics