Author

Shukun Luo

Regeneron (United States)

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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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bian LiiD· 1 shared Dingjiang LiuiD· 1 shared Gurinder S. AtwaliD· 1 shared Jiahui Xu· 1 shared John Mattila· 1 shared Matthew C. FrankliniD· 1 shared Mohammed ShameemiD· 1 shared Peter G. HawkinsiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Bian LiORCID

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Author profile →

1 paper

Recent·Most cited

PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning

Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal

PROPERMAB predicts antibody developability properties using machine learning, enabling early assessment of biophysical characteristics to accelerate drug development.

mAbs · Mar 5, 2025Peer-reviewedBioinformatics