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A deep mutational scanning platform to characterize the fitness landscape of anti-CRISPR proteins
Tobias Stadelmann, Daniel Heid, Michael Jendrusch, Jan Mathony, Stéphane Rosset, Bruno E. Correia, Dominik Niopek
doi: https://doi.org/10.1101/2021.08.21.457204
Tobias Stadelmann
1Center for Synthetic Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany
2Department of Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany
3Black Forest Life Sciences Laboratory, FRO eV, Ohlsbach, 77797, Germany
Daniel Heid
3Black Forest Life Sciences Laboratory, FRO eV, Ohlsbach, 77797, Germany
4Synthetic Biology Group, BioQuant Center of Heidelberg University, 69120 Heidelberg, Germany
5European Molecular Biology Laboratory (EMBL), 69117, Heidelberg, Germany
Michael Jendrusch
4Synthetic Biology Group, BioQuant Center of Heidelberg University, 69120 Heidelberg, Germany
5European Molecular Biology Laboratory (EMBL), 69117, Heidelberg, Germany
Jan Mathony
1Center for Synthetic Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany
2Department of Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany
Stéphane Rosset
6Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
Bruno E. Correia
6Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
Dominik Niopek
1Center for Synthetic Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany
2Department of Biology, Technical University of Darmstadt, Darmstadt, 64287, Germany

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Posted August 22, 2021.
A deep mutational scanning platform to characterize the fitness landscape of anti-CRISPR proteins
Tobias Stadelmann, Daniel Heid, Michael Jendrusch, Jan Mathony, Stéphane Rosset, Bruno E. Correia, Dominik Niopek
bioRxiv 2021.08.21.457204; doi: https://doi.org/10.1101/2021.08.21.457204
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