Author

Cyrus M. Haas

University of WashingtonORCID 0000-0002-2204-9847Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Approach:deep learning· 2 Organism:mouse· 2 Research Focus:protein design· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Neil P. KingiD· 3 shared Annie M. DoseyiD· 2 shared Cole A. DeForestiD· 2 shared Elizabeth M. LeafiD· 2 shared Jackson McGowaniD· 2 shared Masaru KanekiyoiD· 2 shared Adrian CreangaiD· 1 shared Aiko MuraishiiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBiochemistry

Neil P. KingORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Reliable and Efficient Agentic Protein Design with Toolset Harnessing

Jasper Butcher, Jie Chen, Andrew Hunt, Cyrus M. Haas, Wenzhao Dai, Shajesh Sharma, Raktim Mitra, Saman Salike, Jeremy G. Koob, Aiko Muraishi, Zhe Li, Harley Pyles, Michael Dominik Tyka, Magnus S. Bauer, Rafi I. Brent, , David Baker

Chaperone, a DataFrame-based framework and agent harness for protein design tools, cut tokens 86% and GPU-hours 64% while raising pass rate from 6% to 12%.

bioRxiv · Oct 20, 2026 · PreprintBiochemistry✦ In-depth digest

De novo design of protein nanoparticles with integrated functional motifs

Cyrus M. Haas, Sanela Rankovic, Hanul K Lewis, Kenneth D. Carr, Connor Weidle, Sophie S Gerdes, L. Nuss, Felicitas Ruiz, Syed Moiz, Maggie Fiorelli, Emily Grey, Jackson McGowan, N. Pavan Kumar, Adrian Creanga, Alex Kang, , Neil P. King

This paper designs de novo protein nanoparticles with integrated functional motifs, demonstrating their ability to form structured assemblies and elicit immune responses in mice.

bioRxiv · Jan 2, 2026 · PreprintBiochemistry

From sequence to scaffold: computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks

Cyrus M. Haas, Naveen Jasti, Annie M. Dosey, Joel D. Allen, Rebecca A. Gillespie, Jackson McGowan, Elizabeth M. Leaf, Max Crispin, Cole A. DeForest, Masaru Kanekiyo, Neil P. King

This paper designs self-assembling protein nanoparticle vaccines using AlphaFold2 predictions, demonstrating atomic-level accuracy and potent immune responses in mice.

Proceedings of the National Academy of Sciences · Nov 3, 2025Peer-reviewedBiochemistry