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Brooke D. Huisman
Brooke D. Huisman
Verified email at mit.edu
Title
Cited by
Cited by
Year
Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction
CG Rappazzo, BD Huisman, ME Birnbaum
Nature communications 11 (1), 1-14, 2020
412020
Functional dissection of the m6A RNA modification
B Huisman, G Manske, S Carney, S Kalantry
Trends in biochemical sciences 42 (2), 85, 2017
322017
Modeling the cleavage of von Willebrand factor by ADAMTS13 protease in shear flow
B Huisman, M Hoore, G Gompper, DA Fedosov
Medical engineering & physics 48, 14-22, 2017
232017
A high-throughput yeast display approach to profile pathogen proteomes for MHC-II binding
BD Huisman, Z Dai, DK Gifford, ME Birnbaum
Elife 11, e78589, 2022
182022
Machine learning optimization of peptides for presentation by class II MHCs
Z Dai, BD Huisman, H Zeng, B Carter, S Jain, ME Birnbaum, DK Gifford
Bioinformatics 37 (19), 3160-3167, 2021
122021
Identification of highly cross-reactive mimotopes for a public T cell response in murine melanoma
BE Grace, CM Backlund, DM Morgan, BH Kang, NK Singh, BD Huisman, ...
Frontiers in Immunology 13, 2022
82022
Yeast Display for the Identification of Peptide-MHC Ligands of Immune Receptors
BD Huisman, BE Grace, PV Holec, ME Birnbaum
Yeast Surface Display, 263-291, 2022
72022
High-throughput characterization of HLA-E-presented CD94/NKG2x ligands reveals peptides which modulate NK cell activation
BD Huisman, N Guan, T Rückert, L Garner, NK Singh, AJ McMichael, ...
nature communications 14 (1), 4809, 2023
32023
Yeast display platform with expression of linear peptide epitopes for high-throughput assessment of peptide-MHC-II binding
BD Huisman, PA Balivada, ME Birnbaum
Journal of Biological Chemistry, 102913, 2023
22023
Yeast display platform for expression of linear peptide epitopes to assess peptide-MHC-II binding in high-throughput
BD Huisman, PA Balivada, ME Birnbaum
bioRxiv, 2022
12022
Novel peptides capable of altering nk cell activity
M Birnbaum, B Huisman, C Romagnani, T Rückert
US Patent App. 18/331,004, 2024
2024
Tool Development for Studying and Manipulating Peptide-MHC Interactions in a Globally-Representative Manner
BD Huisman
Massachusetts Institute of Technology, 2022
2022
An unbiased characterization of the HLA-E and CD94/NKG2x peptide repertoire reveals peptide ligands that skew NK cell activation
BD Huisman, N Guan, T Ruckert, L Garner, NK Singh, AJ McMichael, ...
bioRxiv, 2022
2022
Extracting and Interpreting the Effects of Higher Order Sequence Features on Peptide MHC Binding
Z Dai, BD Huisman, ME Birnbaum, DK Gifford
bioRxiv, 2020
2020
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