Author

K. Zorn

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· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1

Frequent Co-Authors

M. A. Hayes· 2 shared A. Bodansky· 1 shared A. F. Kung· 1 shared A. Mitchell· 1 shared A. Tremoulet· 1 shared A. Y. Chan· 1 shared B. Miao· 1 shared C. L. Willis· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBiochemistry

M. A. Hayes

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Author profile →

3 papers

Recent·Most cited

Delineation of the Complete Reaction Cycle of a Natural Diels-Alderase

L. Maschio, C. R. Back, J. Alnawah, J. I. Bowen, S. T. Johns, S. Z. Mbatha, L.-C. Han, N. R. Lees, K. Zorn, J. E. M. Stach, M. A. Hayes, M. W. van der Kamp, C. R. Pudney, S. G. Burston, C. L. Willis, P. R. Race

This study provides a molecular description of the complete reaction cycle of the natural Diels-Alderase AbyU using X-ray crystallography, kinetics, and computational simulations.

bioRxiv · Apr 18, 2024Biochemistry

Ancestral versus Modern Substrate Scope in Family-1 Glycosidases

L. I. Gutierrez-Rus, D. Petrovic, P. Schneider, K. Zorn, G. Gamiz-Arco, R. Romero-Zaliz, I. Suarez-Martin, L. De Maria, F. Falcioni, V. A. Risso, M. A. Hayes, J. M. Sanchez-Ruiz

This study compares the substrate scope of a modern and ancestral family-1 glycosidase, finding the ancestral enzyme more efficient with large aglycon-containing flavonoid glycosides.

bioRxiv · Apr 11, 2024Biochemistry

Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq

S. E. Vazquez, S. A. Mann, A. Bodansky, A. F. Kung, Z. Quandt, E. M. N. Ferre, N. Landegren, D. Eriksson, P. Bastard, S.-Y. Zhang, J. Liu, A. Mitchell, C. Mandel-Brehm, B. Miao, G. Sowa, , J. L. DeRisi

This paper scales PhIP-Seq for autoantibody discovery across multiple autoimmune diseases and COVID19, enabling machine learning predictions and identification of disease-specific autoantigens.

bioRxiv · Mar 23, 2022Immunology