Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations

In this work; we investigated the differential interaction of amphiphilic antimicrobial peptides with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid structures by means of extensive molecular dynamics simulations. By using a coarse-grained (CG) model within the MARTINI force field; we...

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Autores principales: Balatti, G.E., Ambroggio, E.E., Fidelio, G.D., Martini, M.F., Pickholz, M.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14203049_v22_n10_p_Balatti
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spelling todo:paper_14203049_v22_n10_p_Balatti2023-10-03T16:13:14Z Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations Balatti, G.E. Ambroggio, E.E. Fidelio, G.D. Martini, M.F. Pickholz, M. Aurein Coarse-grain Helicoidal peptides Lipid bilayers Maculatin Molecular dynamics 1-palmitoyl-2-oleoylphosphatidylcholine amphibian protein antimicrobial cationic peptide aurein 1.2 peptide maculatin-1.1 protein, Litoria phosphatidylcholine chemistry computer simulation conformation lipid bilayer metabolism molecular dynamics molecular model Amphibian Proteins Antimicrobial Cationic Peptides Computer Simulation Lipid Bilayers Models, Molecular Molecular Conformation Molecular Dynamics Simulation Phosphatidylcholines In this work; we investigated the differential interaction of amphiphilic antimicrobial peptides with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid structures by means of extensive molecular dynamics simulations. By using a coarse-grained (CG) model within the MARTINI force field; we simulated the peptide–lipid system from three different initial configurations: (a) peptides in water in the presence of a pre-equilibrated lipid bilayer; (b) peptides inside the hydrophobic core of the membrane; and (c) random configurations that allow self-assembled molecular structures. This last approach allowed us to sample the structural space of the systems and consider cooperative effects. The peptides used in our simulations are aurein 1.2 and maculatin 1.1; two well-known antimicrobial peptides from the Australian tree frogs; and molecules that present different membrane-perturbing behaviors. Our results showed differential behaviors for each type of peptide seen in a different organization that could guide a molecular interpretation of the experimental data. While both peptides are capable of forming membrane aggregates; the aurein 1.2 ones have a pore-like structure and exhibit a higher level of organization than those conformed by maculatin 1.1. Furthermore; maculatin 1.1 has a strong tendency to form clusters and induce curvature at low peptide–lipid ratios. The exploration of the possible lipid–peptide structures; as the one carried out here; could be a good tool for recognizing specific configurations that should be further studied with more sophisticated methodologies. © 2017 by the authors. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14203049_v22_n10_p_Balatti
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aurein
Coarse-grain
Helicoidal peptides
Lipid bilayers
Maculatin
Molecular dynamics
1-palmitoyl-2-oleoylphosphatidylcholine
amphibian protein
antimicrobial cationic peptide
aurein 1.2 peptide
maculatin-1.1 protein, Litoria
phosphatidylcholine
chemistry
computer simulation
conformation
lipid bilayer
metabolism
molecular dynamics
molecular model
Amphibian Proteins
Antimicrobial Cationic Peptides
Computer Simulation
Lipid Bilayers
Models, Molecular
Molecular Conformation
Molecular Dynamics Simulation
Phosphatidylcholines
spellingShingle Aurein
Coarse-grain
Helicoidal peptides
Lipid bilayers
Maculatin
Molecular dynamics
1-palmitoyl-2-oleoylphosphatidylcholine
amphibian protein
antimicrobial cationic peptide
aurein 1.2 peptide
maculatin-1.1 protein, Litoria
phosphatidylcholine
chemistry
computer simulation
conformation
lipid bilayer
metabolism
molecular dynamics
molecular model
Amphibian Proteins
Antimicrobial Cationic Peptides
Computer Simulation
Lipid Bilayers
Models, Molecular
Molecular Conformation
Molecular Dynamics Simulation
Phosphatidylcholines
Balatti, G.E.
Ambroggio, E.E.
Fidelio, G.D.
Martini, M.F.
Pickholz, M.
Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
topic_facet Aurein
Coarse-grain
Helicoidal peptides
Lipid bilayers
Maculatin
Molecular dynamics
1-palmitoyl-2-oleoylphosphatidylcholine
amphibian protein
antimicrobial cationic peptide
aurein 1.2 peptide
maculatin-1.1 protein, Litoria
phosphatidylcholine
chemistry
computer simulation
conformation
lipid bilayer
metabolism
molecular dynamics
molecular model
Amphibian Proteins
Antimicrobial Cationic Peptides
Computer Simulation
Lipid Bilayers
Models, Molecular
Molecular Conformation
Molecular Dynamics Simulation
Phosphatidylcholines
description In this work; we investigated the differential interaction of amphiphilic antimicrobial peptides with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid structures by means of extensive molecular dynamics simulations. By using a coarse-grained (CG) model within the MARTINI force field; we simulated the peptide–lipid system from three different initial configurations: (a) peptides in water in the presence of a pre-equilibrated lipid bilayer; (b) peptides inside the hydrophobic core of the membrane; and (c) random configurations that allow self-assembled molecular structures. This last approach allowed us to sample the structural space of the systems and consider cooperative effects. The peptides used in our simulations are aurein 1.2 and maculatin 1.1; two well-known antimicrobial peptides from the Australian tree frogs; and molecules that present different membrane-perturbing behaviors. Our results showed differential behaviors for each type of peptide seen in a different organization that could guide a molecular interpretation of the experimental data. While both peptides are capable of forming membrane aggregates; the aurein 1.2 ones have a pore-like structure and exhibit a higher level of organization than those conformed by maculatin 1.1. Furthermore; maculatin 1.1 has a strong tendency to form clusters and induce curvature at low peptide–lipid ratios. The exploration of the possible lipid–peptide structures; as the one carried out here; could be a good tool for recognizing specific configurations that should be further studied with more sophisticated methodologies. © 2017 by the authors.
format JOUR
author Balatti, G.E.
Ambroggio, E.E.
Fidelio, G.D.
Martini, M.F.
Pickholz, M.
author_facet Balatti, G.E.
Ambroggio, E.E.
Fidelio, G.D.
Martini, M.F.
Pickholz, M.
author_sort Balatti, G.E.
title Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
title_short Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
title_full Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
title_fullStr Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
title_full_unstemmed Differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
title_sort differential interaction of antimicrobial peptides with lipid structures studied by coarse-grained molecular dynamics simulations
url http://hdl.handle.net/20.500.12110/paper_14203049_v22_n10_p_Balatti
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AT martinimf differentialinteractionofantimicrobialpeptideswithlipidstructuresstudiedbycoarsegrainedmoleculardynamicssimulations
AT pickholzm differentialinteractionofantimicrobialpeptideswithlipidstructuresstudiedbycoarsegrainedmoleculardynamicssimulations
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