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A high-throughput yeast display approach to profile pathogen proteomes for MHC-II binding
Brooke D. Huisman, Zheng Dai, David K. Gifford, View ORCID ProfileMichael E. Birnbaum
doi: https://doi.org/10.1101/2022.02.22.480950
Brooke D. Huisman
1Koch Institute for Integrative Cancer Research, Cambridge, MA, USA
2Department of Biological Engineering, MIT, Cambridge, MA, USA
Zheng Dai
3Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
4Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
David K. Gifford
2Department of Biological Engineering, MIT, Cambridge, MA, USA
3Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
4Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
Michael E. Birnbaum
1Koch Institute for Integrative Cancer Research, Cambridge, MA, USA
2Department of Biological Engineering, MIT, Cambridge, MA, USA
5Ragon Institute of MIT, MGH, and Harvard, Cambridge, MA, USA
Posted February 24, 2022.
A high-throughput yeast display approach to profile pathogen proteomes for MHC-II binding
Brooke D. Huisman, Zheng Dai, David K. Gifford, Michael E. Birnbaum
bioRxiv 2022.02.22.480950; doi: https://doi.org/10.1101/2022.02.22.480950
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