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Membrane binding of antimicrobial peptides is modulated by lipid charge modification

Abstract:
Peptide interactions with lipid bilayers play a key role in a range of biological processes and depend on electrostatic interactions between charged amino acids and lipid headgroups. Antimicrobial peptides (AMPs) initiate the killing of bacteria by binding to and destabilizing their membranes. The multiple peptide resistance factor (MprF) provides a defense mechanism for bacteria against a broad range of AMPs. MprF reduces the negative charge of bacterial membranes through enzymatic conversion of the anionic lipid phosphatidyl glycerol (PG) to either zwitterionic alanyl-phosphatidyl glycerol (Ala-PG) or cationic lysyl-phosphatidyl glycerol (Lys-PG). The resulting change in the membrane charge is suggested to reduce the binding of AMPs to membranes, thus impeding downstream AMP activity. Using coarse-grained molecular dynamics to investigate the effects of these modified lipids on AMP binding to model membranes, we show that AMPs have substantially reduced affinity for model membranes containing Ala-PG or Lys-PG. More than 5000 simulations in total are used to define the relationship between lipid bilayer composition, peptide sequence (using five different membrane-active peptides), and peptide binding to membranes. The degree of interaction of a peptide with a membrane correlates with the membrane surface charge density. Free energy profile (potential of mean force) calculations reveal that the lipid modifications due to MprF alter the energy barrier to peptide helix penetration of the bilayer. These results will offer a guide to the design of novel peptides, which addresses the issue of resistance via MprF-mediated membrane modification.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1021/acs.jctc.0c01025

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Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author


Publisher:
American Chemical Society
Journal:
Journal of Chemical Theory and Computation More from this journal
Volume:
17
Issue:
2
Pages:
1218–1228
Publication date:
2021-01-04
Acceptance date:
2020-12-18
DOI:
EISSN:
1549-9626
ISSN:
1549-9618


Language:
English
Keywords:
Pubs id:
1150999
Local pid:
pubs:1150999
Deposit date:
2020-12-21
ARK identifier:

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