Journal article
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
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.4MB, Terms of use)
-
- Publisher copy:
- 10.1021/acs.jctc.0c01025
Authors
- 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:
Terms of use
- Copyright holder:
- American Chemical Society
- Copyright date:
- 2021
- Rights statement:
- © 2021 American Chemical Society
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from American Chemical Society at: https://doi.org/10.1021/acs.jctc.0c01025
If you are the owner of this record, you can report an update to it here: Report update to this record