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Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins
Megan Leander, Zhuang Liu, Qiang Cui, View ORCID ProfileSrivatsan Raman
doi: https://doi.org/10.1101/2022.05.01.490188
Megan Leander
1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI – 53706, United States
Zhuang Liu
2Department of Physics, Boston University, Boston, MA – 02215, United States
Qiang Cui
2Department of Physics, Boston University, Boston, MA – 02215, United States
3Department of Chemistry, Boston University, Boston, MA – 02215, United States
Srivatsan Raman
1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI – 53706, United States
4Department of Bacteriology, University of Wisconsin-Madison, Madison, WI – 53706, United States
5Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI – 53706, United States
Posted May 01, 2022.
Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins
Megan Leander, Zhuang Liu, Qiang Cui, Srivatsan Raman
bioRxiv 2022.05.01.490188; doi: https://doi.org/10.1101/2022.05.01.490188
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