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Machine Learning Predicts New Anti-CRISPR Proteins
Simon Eitzinger, Amina Asif, View ORCID ProfileKyle E. Watters, Anthony T. Iavarone, View ORCID ProfileGavin J. Knott, Jennifer A. Doudna, Fayyaz ul Amir Afsar Minhas
doi: https://doi.org/10.1101/854950
Simon Eitzinger
1Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
Amina Asif
2Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), PO Nilore, Islamabad, Pakistan
Kyle E. Watters
1Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
Anthony T. Iavarone
3QB3/Chemistry Mass Spectrometry Facility, University of California, Berkeley, Berkeley, CA, USA
Gavin J. Knott
1Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
Jennifer A. Doudna
1Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
4Department of Chemistry, University of California Berkeley, Berkeley, CA, 94720, USA
5Innovative Genomics Initiative, University of California Berkeley, Berkeley, CA, 94720, USA
6Center for RNA Systems Biology, University of California Berkeley, Berkeley, CA, 94720, USA
7Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA, 94720, USA
8Molecular Biophysics & Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
Fayyaz ul Amir Afsar Minhas
2Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), PO Nilore, Islamabad, Pakistan
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Posted November 29, 2019.
Machine Learning Predicts New Anti-CRISPR Proteins
Simon Eitzinger, Amina Asif, Kyle E. Watters, Anthony T. Iavarone, Gavin J. Knott, Jennifer A. Doudna, Fayyaz ul Amir Afsar Minhas
bioRxiv 854950; doi: https://doi.org/10.1101/854950
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