Employing deep mutational scanning in the Escherichia coli periplasm to decode the thermodynamic landscape for amyloid formation

McKay, C.E., Deans, M., Connor, J. et al. (4 more authors) (2025) Employing deep mutational scanning in the Escherichia coli periplasm to decode the thermodynamic landscape for amyloid formation. Proceedings of the National Academy of Sciences of the United States of America, 122 (38). e2516165122. ISSN: 0027-8424

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Item Type: Article
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© 2025 the Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: deep mutational scanning; amyloid; Aβ42; machine learning
Dates:
  • Accepted: 11 August 2025
  • Published (online): 17 September 2025
  • Published: 23 September 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds)
Date Deposited: 07 Oct 2025 11:15
Last Modified: 07 Oct 2025 11:15
Status: Published
Publisher: Proceedings of the National Academy of Sciences
Identification Number: 10.1073/pnas.2516165122
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