Author

Sehan Lee

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 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Benedikt M. WanneriD· 1 shared Daniil Melnichenko· 1 shared Jaechang LimiD· 1 shared Jihye Choi· 1 shared JoonSeong LeeiD· 1 shared Jung Min HaniD· 1 shared Luka RagužiD· 1 shared Mincheol Kang· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Benedikt M. WannerORCID

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1 paper

Recent·Most cited

Synthesis-aware generative design in trillion-scale chemical spaces for automated drug discovery

Seonghwan Seo, Yulseung Sung, Sang-Yeon Hwang, Mincheol Kang, JoonSeong Lee, Samuele Bordi, Luka Raguž, Jihye Choi, Daniil Melnichenko, Wan Namkung, Sehan Lee, Jaechang Lim, Benedikt M. Wanner, Jung Min Han, Woo Youn Kim

This paper introduces a generative AI framework for drug discovery that efficiently navigates large chemical spaces while ensuring synthetic feasibility and functional success.

bioRxiv · Oct 9, 2026 · PreprintBioinformatics