Author

A. N. Hoofnagle

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:proteomics· 3 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M. J. MacCoss· 4 shared E. Huang· 3 shared C. C. Wu· 2 shared D. L. Plubell· 2 shared G. E. Merrihew· 2 shared J. Park· 2 shared K. A. Tsantilas· 2 shared M. Riffle· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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4 shared papersBiochemistry

M. J. MacCoss

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Author profile →

4 papers

Recent·Most cited

A framework for quality control in quantitative proteomics

K. A. Tsantilas, G. E. Merrihew, J. E. Robbins, R. S. Johnson, J. Park, D. L. Plubell, J. D. Canterbury, E. Huang, M. Riffle, V. Sharma, B. X. MacLean, J. Eckels, C. C. Wu, M. S. Bereman, S. E. Spencer, , M. J. MacCoss

The paper introduces a framework for quality control in quantitative proteomics, combining internal and external QC measures with tools for data analysis and deposition.

bioRxiv · Apr 12, 2024Biochemistry

Mag-Net: Rapid enrichment of membrane-bound particles enables high coverage quantitative analysis of the plasma proteome

C. C. Wu, K. A. Tsantilas, J. Park, D. L. Plubell, J. A. Sanders, P. Naicker, I. Govender, S. Buthelezi, S. Stoychev, J. Jordaan, G. E. Merrihew, E. Huang, E. D. Parker, M. Riffle, A. N. Hoofnagle, , M. J. MacCoss

Mag-Net enriches membrane-bound particles from plasma to identify disease-specific proteins, discovering 204 proteins differentiating Alzheimer's disease dementia from controls.

bioRxiv · Jun 10, 2023 · PreprintBiochemistry

De novo design of high-affinity protein binders to bioactive helical peptides

S. Vazquez Torres, P. J. Y. Leung, I. D. Lutz, P. Venkatesh, J. L. Watson, F. Hink, H.-H. Huynh, A. H.-W. Yeh, D. Juergens, N. R. Bennett, A. N. Hoofnagle, E. Huang, M. J. MacCoss, M. Exposit, G. R. Lee, , D. Baker

This paper designs high-affinity protein binders for bioactive helical peptides using deep learning and generative models, achieving picomolar affinity without experimental optimization.

bioRxiv · Dec 10, 2022 · PreprintBioengineering

Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics

L. K. Pino, B. C. Searle, H.-Y. Yang, A. N. Hoofnagle, W. S. Noble, M. J. MacCoss

The paper demonstrates how to assess quantitative peptide measurements in proteomics using matrix-matched calibration curves and shows that more detected peptides do not guarantee more quantitatively measurable peptides.

bioRxiv · Jul 30, 2019Biochemistry