Author

Jiuhan Shi

McGovern Institute for Brain Research

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· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:proteomics· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Alex KangiD· 1 shared Alexander LeitneriD· 1 shared Alexi G. ChoueiriiD· 1 shared Alvar D. GossertiD· 1 shared Amir MotmaeniD· 1 shared Anand VaithiaiD· 1 shared Andrew C. LuiD· 1 shared Angela Kosturanova· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBiochemistry

Alex KangORCID

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Author profile →

3 papers

Recent·Most cited

Principles of in situ protein sequencing: expansion microscopy-adapted Edman degradation and amino acid recognition

Camille Marie Mitchell, Sara Z. Tavana, Joanne Peng, Hao Wang, Jiuhan Shi, Chi Zhang, Lilia Evgeniou, Masy Domecillo, Shiwei Wang, Daniel Estandian, Alexi G. Choueiri, E. Wong, Sarah Dohadwala, Isken Kenzhebaev, Tay Won Shin, , Edward S. Boyden

This study adapts Edman degradation and amino acid recognition to expansion microscopy gels to demonstrate in situ protein sequencing principles using synthetic constructs.

bioRxiv · Jul 21, 2026 · PreprintBiochemistry

Neuronal calcium sensors emerge as novel adenylyl cyclase 8 regulators

Basavraj Khanppnavar, Roberta Florea, Dina Schuster, Pia Lavriha, Angela Kosturanova, M. Ruckstuhl, Ilayda Kantarci, Anand Vaithia, Jiuhan Shi, Paola Picotti, Alvar D. Gossert, Alexander Leitner, Volodymyr M. Korkhov

This study identifies HPCAL1 as a Ca2+-dependent regulator of AC8, revealing a new mechanism for cAMP signaling regulation.

bioRxiv · May 11, 2026 · PreprintBiochemistry

De novo design of phosphotyrosine peptide binders

Magnus S. Bauer, Jason Z. Zhang, Kejia Wu, Gyu Rie Lee, Brian Coventry, Isabella M Silvestri, Kody A. Klupt, Jiuhan Shi, Rafael I. Brent, Xinting Li, Carolina Möller, Nicole Roullier, Dionne K. Vafeados, Indrek Kalvet, Rebecca Skotheim, , David A. Baker

This paper introduces RFD2-MI, a deep learning framework for designing phosphotyrosine peptide binders, showing high specificity and affinity for phosphorylated targets.

bioRxiv · Sep 29, 2025 · PreprintBiochemistry