Author

Adrian A. Shimpi

University of VirginiaORCID 0000-0002-0782-0496Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:metabolism & bioenergetics· 1 Approach:microscopy & imaging analysis· 1 Assay:protein sequence· 1

Frequent Co-Authors

Kristen M. NaegleiD· 2 shared Candace Lei-Dadey· 1 shared Claudia FischbachiD· 1 shared Gabriela Salazar Lopez· 1 shared Jack C. CrowleyiD· 1 shared Jennie A. M. R. KunitakeiD· 1 shared Joseph-Levi Custer· 1 shared Lara A. EstroffiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersSystems Biology

Kristen M. NaegleORCID

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3 papers

Recent·Most cited

KSTAR v1.2: A faster and more and accessible KSTAR for kinase activity inference

Sam Crowl, Joseph-Levi Custer, Gabriela Salazar Lopez, Candace Lei-Dadey, Adrian A. Shimpi, Kristen M. Naegle

KSTAR v1.2 improves speed and accessibility for kinase activity inference from phosphoproteomic data without compromising accuracy.

bioRxiv · Sep 17, 2026 · PreprintSystems Biology

Assessing cellular metabolic dynamics with NAD(P)H fluorescence polarization imaging

Ling Lu, Jack C. Crowley, Matthew L. Tan, Jennie A. M. R. Kunitake, Adrian A. Shimpi, Rebecca M. Williams, Lara A. Estroff, Claudia Fischbach, Warren R. Zipfel

This paper introduces FPRM, a fast, label-free imaging method to monitor cellular metabolism using NAD(P)H autofluorescence, and demonstrates its application in tracking metabolic changes under various perturbations.

bioRxiv · Jul 28, 2025 · PreprintBiophysics

Uncovering the domain language of protein function and proteinnetworks using DANSy

Adrian A. Shimpi, Kristen M. Naegle

This paper introduces DANSy, a method converting proteins into linguistic networks using domain architecture to uncover functional relationships in proteomes, showing it complements traditional interaction networks.

bioRxiv · Dec 4, 2024 · PreprintSystems Biology