Author

Cameron Cordray

University of Washington

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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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

Samer F. Halabiya· 2 shared Anissa Martinez· 1 shared Babak AlipanahiiD· 1 shared Benjamin W. JesteriD· 1 shared Charles Lin· 1 shared Christof AngermuelleriD· 1 shared Colleen Shikany· 1 shared Daniel GuioniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiochemistry

Samer F. Halabiya

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2 papers

Recent·Most cited

Using experimental results of protein design to guide biomolecular energy-function development

Hugh K. Haddox, Gabriel J. Rocklin, Francis C. Motta, Devin Strickland, Samer F. Halabiya, Cameron Cordray, Hahnbeom Park, Eric Klavins, David A. Baker, Frank DiMaio

The paper uses experimental results from de novo protein designs to identify and resolve failure modes in the Rosetta energy function, improving its accuracy in predicting stable protein structures.

PLoS Computational Biology · Apr 22, 2026Peer-reviewedBiochemistry

High-throughput ML-guided design of diverse single-domain antibodies against SARS-CoV-2

Christof Angermueller, Zelda Mariet, Benjamin W. Jester, Emily Engelhart, Ryan Emerson, Babak Alipanahi, Charles Lin, Colleen Shikany, Daniel Guion, Joel B. Nelson, Mary Kelley, Margot McMurray, Parker Shaffer, Cameron Cordray, Samer F. Halabiya, , Lucy J. Colwell

This study uses ML to design diverse VHH antibodies that neutralize SARS-CoV-1 and SARS-CoV-2 variants, including Delta and Omicron BA.1.

bioRxiv · Dec 1, 2023 · PreprintBioinformatics