Author

B. M. Petersen

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· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:proteomics· 2 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

E. R. Rhodes· 2 shared T. A. Whitehead· 2 shared A. Walker· 1 shared B. J. Dekosky· 1 shared C. Haas· 1 shared E. Ayala· 1 shared I. Strawn· 1 shared J. Guthmiller· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

E. R. Rhodes

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2 papers

Recent·Most cited

An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries

B. M. Petersen, M. Kirby, K. Chrispens, O. Irvin, I. Strawn, C. Haas, A. Walker, Z. T. Baumer, S. Ulmer, E. Ayala, O. Irvin, E. R. Rhodes, J. Guthmiller, P. J. Steiner, T. A. Whitehead

The paper introduces MAGMA-seq, a technology for quantitative analysis of antibody sequence-function relationships, demonstrating its application in mapping antibody development pathways and identifying binding determinants.

Nature Communications · May 10, 2024Peer-reviewedBiochemistry

Regulatory approved monoclonal antibodies contain framework mutations predicted from human antibody repertoires

B. M. Petersen, S. A. Ulmer, E. R. Rhodes, M. F. Gutierrez Gonzalez, B. J. Dekosky, K. G. Sprenger, T. A. Whitehead

The paper predicts framework mutations in therapeutic monoclonal antibodies using natural human antibody repertoires, showing potential to improve antibody properties and reduce immunogenicity.

bioRxiv · Jun 22, 2021Immunology