Author

M. Biburger

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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Immunology· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

A. Lux· 2 shared A. S. Meyer· 2 shared F. Nimmerjahn· 2 shared N. Guan· 1 shared P. Varghese· 1 shared R. A. Robinett· 1 shared S. Lees· 1 shared Z. C. Tan· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersImmunology

A. Lux

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2 papers

Recent·Most cited

Mixed IgG Fc immune complexes exhibit blended binding profiles and refine FcR affinity estimates

Z. C. Tan, A. Lux, M. Biburger, P. Varghese, S. Lees, F. Nimmerjahn, A. S. Meyer

This study examines how mixed Fc domain immune complexes bind Fc receptors, showing blended binding profiles and refined affinity estimates for low-affinity interactions.

Cell Reports · Jul 1, 2023Peer-reviewedImmunology

Dissecting FcγR Regulation Through a Multivalent Binding Model

R. A. Robinett, N. Guan, A. Lux, M. Biburger, F. Nimmerjahn, A. S. Meyer

This paper develops a multivalent binding model to predict FcγR-immune complex interactions and enables rational design of immune complexes for desired effector functions.

bioRxiv · Nov 27, 2017Immunology