Author

Jin Sub Lee

University of TorontoORCID 0000-0002-6410-2706Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 5 Assay:protein structure· 4 Research Focus:protein structure prediction· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein design· 1

Frequent Co-Authors

Philip M. KimiD· 4 shared Alexander DerryiD· 1 shared Alexander W. RivesiD· 1 shared Allan dos Santos CostaiD· 1 shared Alvin HsuiD· 1 shared Anthony W. GoeringiD· 1 shared Ashton Trotman‐GrantiD· 1 shared Bryan Z. Wu· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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4 shared papersBioinformatics

Philip M. KimORCID

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Author profile →

5 papers

Recent·Most cited

Design of peptides with non-canonical amino acids using flow matching

Jin Sub Lee, Philip M. Kim

This paper introduces NCFlow, a generative model for designing peptides with non-canonical amino acids, showing improved binding affinity over existing methods.

Bioinformatics · Aug 31, 2026Peer-reviewedBioinformatics

Language Modeling Materializes a World Model of Protein Biology

Salvatore Candido, Thomas Hayes, Alexander Derry, Roshan Rao, Zeming Lin, Robert Verkuil, Bryan Z. Wu, Jin Sub Lee, Elise S. Bruguera, Jehan A. Keval, Mykhailo Kopylov, John E. Pak, Wesley C. H. Wu, Neil Thomas, Samson J. Mataraso, , Alexander W. Rives

The paper uses language modeling to create a comprehensive representation of protein biology, enabling structure prediction and discovery of high-affinity protein interactions.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics

Making invisible excited state protein structures visible by combining NMR and machine learning

Jeffrey P. Bonin, Jin Sub Lee, Zi Hao Liu, Philip M. Kim, Lewis E. Kay

The paper combines NMR data with AlphaFlow to identify excited state conformers of pro-IL-18, revealing structural insights from transient states.

bioRxiv · Nov 27, 2025 · PreprintBiophysics

CyclicBoltz1, fast and accurately predicting structures of cyclic peptides and complexes containing non-canonical amino acids using AlphaFold 3 Framework

Xuezhi Xie, Christina Z Li, Jin Sub Lee, Philip M. Kim

The paper extends the AlphaFold3 framework to predict structures of cyclic peptides with non-canonical amino acids, outperforming existing models on a test set.

bioRxiv · Feb 11, 2025 · PreprintBioinformatics

FlowPacker: Protein side-chain packing with torsional flow matching

Jin Sub Lee, Philip M. Kim

FlowPacker predicts protein side-chain conformations using torsional flow matching and equivariant graph attention, outperforming existing methods and handling missing coordinates and multimeric targets.

Bioinformatics · Jan 7, 2025Peer-reviewedBioinformatics