mPPases create a conserved anionic membrane fingerprint as identified via multi-scale simulations

Holmes, AOM orcid.org/0000-0002-5139-2986, Goldman, A and Kalli, AC orcid.org/0000-0001-7156-9403 (2022) mPPases create a conserved anionic membrane fingerprint as identified via multi-scale simulations. PLoS Computational Biology, 18 (10). e1010578. ISSN 1553-734X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 Holmes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 28 September 2022
  • Published (online): 3 October 2022
  • Published: 13 October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds)
Funding Information:
FunderGrant number
BBSRC (Biotechnology & Biological Sciences Research Council)BB/T006048/1
Depositing User: Symplectic Publications
Date Deposited: 21 Sep 2022 13:42
Last Modified: 25 Jun 2023 23:06
Status: Published
Publisher: Public Library of Science (PLoS)
Identification Number: https://doi.org/10.1371/journal.pcbi.1010578

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