PreprintCited by 9Antimicrobial Peptides and ActivitiesLipid Membrane Structure and BehaviorProtein Structure and Dynamics

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Spontaneous Transmembrane Pore Formation by Short-chain Synthetic Peptide

Open access

Preprint — published as 10.1016/j.bpj.2021.08.033

Abstract

Amphiphilic β -peptides, which are synthetically designed short-chain helical foldamer of β -amino acids, are established potent biomimetic alternatives of natural antimicrobial peptides. An intriguing question is: how does the distinct molecular architecture of these short-chain and rigid synthetic peptides translates to its potent membrane disruption ability? Here, we address this question via a combination of all atom and coarse-grained molecular dynamics simulations of the interaction of mixed phospholipid bilayer with an antimicrobial 10-residue globally amphiphilic helical β -peptide at wide range of concentrations. The simulation demonstrates that multiple copies of this synthetic peptide, initially placed in aqueous solution, readily self-assemble and adsorb at membrane interface. Subsequently, beyond a threshold peptide-to-lipid ratio, the surface-adsorbed oligomeric aggregate moves inside the membrane and spontaneously forms stable water-filled transmembrane pore via a cooperative mechanism. The defects induced by these pores lead to the dislocation of interfacial lipid head groups, membrane thinning and substantial water leakage inside the hydrophobic core of the membrane. A molecular analysis reveals that, despite having a short architecture, these synthetic peptides, once inside the membrane, would stretch themselves towards the distal leaflet in favour of potential contact with polar head groups and interfacial water layer. The pore formed in coarse-grained simulation was found to be resilient upon structural refinement. Interestingly, the pore-inducing ability was found to be elusive in a non-globally amphiphilic sequence isomer of the same β -peptide, indicating strong sequence dependence. Taken together, this work put forward key perspectives of membrane-activity of minimally designed synthetic biomimetic oligomers relative to the natural antimicrobial peptides. STATEMENT OF SIGNIFICANCE: The development of bacterial resistance to conventional antibiotics is a major concern towards public health. Antimicrobial peptides, which provide a natural defence against a large range of pathogens, including bacteria and fungi, are emerging as a sustainable substitute of antibiotics. However, serious issues with the naturally occurring antimicrobial peptides which have prevented their wide-spread appreciations are their susceptibility to degradation and lack of specificity for microbial targets. In this regard, synthetic biomimetic peptides are coming up as a viable alternative. In this work we provide clarity on how these synthetic antimicrobial peptides, which often involves distinctly short architecture, acts on the membrane. We show that despite its short architecture, a 10-residue biomimetic peptide, β -peptide, can spontaneously form stable membrane-spanning pore and induce water-leakage inside the membrane.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2021.02.12.430925

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 68

  1. 10.1038/415389a · DOI · Paper page
  2. 2005, Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?, Nature Rev. Microbiol, 3, 238, 10.1038/nrmicro1098 · DOI · Paper page
  3. 10.1124/pr.55.1.2 · DOI
  4. 10.1016/S0196-9781(01)00498-3 · DOI
  5. 10.1038/35007145 · DOI
  6. 10.1021/ja0107475 · DOI
  7. 10.1073/pnas.0708254105 · DOI
  8. 2008, Sequence-based design of alpha/beta-peptide foldamers that mimic BH3 domains, Angew.Chem. Int, 47, 2853, 10.1002/anie.200705315 · DOI
  9. 10.1002/1439-7633(20010601)2:6<445::AID-CBIC445>3.0.CO;2-R · DOI
  10. 10.1021/cr000045i · DOI
  11. 10.1021/ar960298r · DOI
  12. 10.1021/ja0270423 · DOI
  13. 10.1021/ja0260871 · DOI
  14. 10.1021/ja0666553 · DOI
  15. 10.1021/ja064630y · DOI
  16. 10.1021/cb900093r · DOI
  17. 2016, Antimicrobial Peptides: An Emerging Category of Therapeutic Agents, Frontiers in Cellular and Infection Microbiology, 6, 194
  18. 10.1002/bip.10260 · DOI
  19. 10.1016/S0005-2736(99)00197-2 · DOI
  20. 10.1021/ja062927q · DOI
  21. 10.1016/j.bbamem.2008.06.007 · DOI
  22. 2016, Simulations of Membrane-Disrupting Peptides I: Alamethicin Pore Stability and Spontaneous Insertion, Biophys. J, 111, 1248, 10.1016/j.bpj.2016.08.014 · DOI
  23. 10.1016/j.bpj.2016.08.015 · DOI
  24. 10.1529/biophysj.104.048835 · DOI
  25. 2017, Accelerated molecular dynamics simulation analysis of MSI-594 in a lipid bilayer, Phys. Chem. Chem. Phys, 19, 19289, 10.1039/C7CP01941F · DOI
  26. 2008, Role of phosphatidylglycerols in the stability of bacterial membranes, Biochimie, 90, 930, 10.1016/j.biochi.2008.02.025 · DOI
  27. 10.1021/jp036508g · DOI · Paper page
  28. 10.1371/journal.pcbi.1000803 · DOI
  29. 10.1002/jcc.20945 · DOI · Paper page
  30. 10.1021/ct300400x · DOI
  31. 2008, Establishing Effective Simulation Protocols for β and α-β-Peptides. II. Molecular Mechanical (MM) Model for a Cyclic β-Residue, J. Phys. Chem. B, 112, 5439, 10.1021/jp077601y · DOI
  32. 2010, Establishing effective simulation protocols for β and α-βpeptides. III. Molecular mechanical model for acyclic βamino acids, J. Comput. Chem, 31, 2063, 10.1002/jcc.21493 · DOI
  33. 2010, Sequence-dependent interaction of β-peptides with membranes, J.Phys.Chem.B, 114, 13585, 10.1021/jp1070242 · DOI
  34. 10.1021/jp973084f · DOI
  35. 2008, GROMACS 4: algorithms for highly efficient, load-balanced, and scalable molecular simulation, J.Chem.Theo. Comput, 4, 435, 10.1021/ct700301q · DOI
  36. 10.1080/00268978400101201 · DOI
  37. 10.1103/PhysRevA.31.1695 · DOI
  38. 10.1063/1.328693 · DOI
  39. 2013, A flexible algorithm for calculating pair interactions on {SIMD} architectures, Comput. Phys. Comm.s, 184, 2641, 10.1016/j.cpc.2013.06.003 · DOI
  40. 1997, LINCS: A linear constraint solver for molecular simulations, J.Comput.Chem, 18, 1463, 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H · DOI
  41. 10.1002/jcc.540130805 · DOI
  42. 10.1021/ct700324x · DOI
  43. Bowman, G. R. , Pande, V. S. , and F. Noe , 2014. An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. · DOI
  44. 10.1021/acs.jctc.5b00743 · DOI
  45. 10.1016/j.cpc.2015.09.014 · DOI
  46. 10.1021/ct400617g · DOI
  47. 10.1021/jp071097f · DOI
  48. 10.1039/c3cs60093a · DOI
  49. 10.1021/ct300646g · DOI · Paper page
  50. 2004, Antimicrobial 14-helical beta-peptides: A potent Bilayer disrupting agents, Biochemistry, 43, 9527, 10.1021/bi049414l · DOI
  51. 10.1021/bi9620621 · DOI
  52. 2019, Free energy analysis of membrane pore formation process in the presence of multiple melittin peptides, Biochim. Biophys. Acta - Biomembranes, 1861, 1409, 10.1016/j.bbamem.2019.03.002 · DOI
  53. 10.1098/rstb.2016.0219 · DOI
  54. 10.1021/acs.accounts.7b00613 · DOI
  55. 10.1021/jp406328d · DOI
  56. 10.1021/bi000946l · DOI
  57. 10.1016/S0006-3495(02)75452-0 · DOI
  58. 10.1021/bi036153r · DOI
  59. 10.1021/ct200291v · DOI
  60. 2019, Molecular Dynamics Simulation of Interaction between Functionalized Nanoparticles with Lipid Membranes: Analysis of Coarse-Grained Models, J. Phys. Chem. B, 123, 10547, 10.1021/acs.jpcb.9b08259 · DOI
  61. 2020, Localization Preference of Antimicrobial Peptides on Liquid-Disordered Membrane Domains, Front. Cell Dev. Biol, 8, 350, 10.3389/fcell.2020.00350 · DOI
  62. 2018, Molecular Mechanism of Lipid Nanodisk Formation by Styrene-Maleic Acid Copolymers, Biophys. J, 115, 494, 10.1016/j.bpj.2018.06.018 · DOI
  63. 10.1016/j.bpj.2013.11.4490 · DOI
  64. 10.1021/acs.jctc.6b00369 · DOI
  65. 2019, A brief appraisal of computational modelling of antimicrobial peptides’ activity, Drug Dev. Res, 80, 28, 10.1002/ddr.21472 · DOI
  66. 2016, Single-Cell, Time-Resolved Antimicrobial Effects of a Highly Cationic, Random Nylon-3 Copolymer on Live Escherichia coli, ACS Chem. Biol, 11, 113, 10.1021/acschembio.5b00547 · DOI
  67. 2015, Nylon-3 Polymers Active against Drug-Resistant Candida albicans Biofilms, Journal of the American Chemical Society, 137, 2183, 10.1021/ja512567y · DOI
  68. 10.1021/ja507576a · DOI

Metadata

Authors
Koneru, J. K., Prakashchand, D. D., Dube, N., Ghosh, P., & Mondal, J.
Affiliations
Tata Institute of Fundamental Research (IN)
Corresponding author
Mondal, Jagannath
Venue
Biophysical Journal
Publisher
openRxiv
Published
2021-02-16
Volume
120
Issue
20
Pages
4557-4574
ISSN
0006-3495 (ISSN-L)
OpenAlex
W3196742398
Cited by
9
References
1
Citations by year
2026: 1 · 2025: 2 · 2023: 1 · 2022: 3 · 2021: 2
FWCI
1.06
Type
journal article
Language
en
Open access
Locations
  • Biophysical Journal (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Tata Institute of Fundamental Research (RTI4007, DST/INSPIRE/04/2015/002495, CRG/2019/001219)
  • Department of Science and Technology, Ministry of Science and Technology, India (RTI 4007, CRG/2019/001219, DST/INSPIRE/04/2015/002495)
  • Department of Atomic Energy, Government of India (CRG/2019/001219, RTI 4007, DST/INSPIRE/04/2015/002495)
Topics
  • Life Sciences › Immunology and Microbiology › Microbiology › Antimicrobial Peptides and Activities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
antimicrobial peptides, membrane damage, peptide self-assembly, peptide oligomerization, membrane thinning, sequence dependence, coarse-grained molecular dynamics, all-atom molecular dynamics
MeSH terms
Lipid Bilayers, Peptides, Water, Molecular Dynamics Simulation, Hydrophobic and Hydrophilic Interactions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review