Author

Ji-Ung Jeung

University of WashingtonORCID 0009-0004-8604-908XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:protein structure· 2 Approach:deep learning· 1 Approach:diffusion model· 1 Approach:experimental assay· 1 Research Focus:protein design· 1

Frequent Co-Authors

David A. BakeriD· 2 shared Alex KangiD· 1 shared Alex Shida· 1 shared Andrew C. HuntiD· 1 shared Anna LaukoiD· 1 shared Asim K. BeraiD· 1 shared Banumathi SankaraniD· 1 shared Christoffer NorniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

David A. BakerORCID

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2 papers

Recent·Most cited

A scalable recombinant pipeline for disulphide-stapled peptides

Yensi Flores Bueso, Gizem Gokce Alpkilic, Ji-Ung Jeung, Stephen Rettie, Xinting Li, Mark Tangney, David A. Baker, Gaurav Bhardwaj

This paper describes a scalable recombinant pipeline for producing disulphide-stapled cyclic peptides, achieving high yields and enabling high-throughput screening.

bioRxiv · Sep 30, 2026 · PreprintBiochemistry

Computational design of serine hydrolases

Anna Lauko, Samuel J. Pellock, Kiera H. Sumida, Ivan V. Anishchenko, David Juergens, Woody Ahern, Jihun Jeung, Alex Shida, Andrew C. Hunt, Indrek Kalvet, Christoffer Norn, Ian R. Humphreys, Cooper Stergis Jamieson, Rohith Krishna, Yakov Kipnis, , David A. Baker

This study designs novel serine hydrolases with high catalytic efficiency using computational methods, achieving structures close to design models and distinct from natural enzymes.

Science · Feb 13, 2025Peer-reviewedBiochemistry