2007
DOI: 10.1186/1471-2091-8-11
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Comparison of interactions between beta-hairpin decapeptides and SDS/DPC micelles from experimental and simulation data

Abstract: BackgroundWe applied a combined experimental and computational approach to ascertain how peptides interact with host and microbial membrane surrogates, in order to validate simulation methodology we hope will enable the development of insights applicable to the design of novel antimicrobial peptides. We studied the interactions of two truncated versions of the potent, but cytotoxic, antimicrobial octadecapeptide protegrin-1, PC-72 [LCYCRRRFCVC] and PC-73 [CYCRRRFCVC].ResultsWe used a combination of FTIR, fluor… Show more

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Cited by 26 publications
(28 citation statements)
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“…However, the interpretation of experimental results is often modeldependent, making theoretical studies of micelles a crucial stage to obtain relevant molecular pictures. Molecular dynamics (MD) simulations on SDS micelles have therefore been performed at the coarse-grained (CG) [16][17][18][19], united-atom (UA) [20][21][22][23][24], and all-atom (AA) [25][26][27] resolutions. However, the limitations of the method are related to the description of the molecule at each resolution (ideal bond lengths, angles, dihedrals, and partial charges distribution) [28] that usually remains based on general parameter sets covering wide areas of biochemistry [29] and therefore missing the specificity of the newly investigated systems.…”
Section: Introductionmentioning
confidence: 99%
“…However, the interpretation of experimental results is often modeldependent, making theoretical studies of micelles a crucial stage to obtain relevant molecular pictures. Molecular dynamics (MD) simulations on SDS micelles have therefore been performed at the coarse-grained (CG) [16][17][18][19], united-atom (UA) [20][21][22][23][24], and all-atom (AA) [25][26][27] resolutions. However, the limitations of the method are related to the description of the molecule at each resolution (ideal bond lengths, angles, dihedrals, and partial charges distribution) [28] that usually remains based on general parameter sets covering wide areas of biochemistry [29] and therefore missing the specificity of the newly investigated systems.…”
Section: Introductionmentioning
confidence: 99%
“…The most commonly used micellar membrane-mimicking systems are aqueous solutions of surfactants such as dodecylphosphocholine (DPC) and sodium dodecyl sulfate (SDS) [10][11][12][13][14]. DPC provides a zwitterionic surface on the micelles that adequately mimic biological membranes of the vertebrates, whereas the SDS micelles, with negatively charged headgroups, adequately imitate the bacterial membrane [15]. However, to mimic electrostatic properties of the vertebrate plasma, a membrane model characterized by a slight prevalence of the negative charge, such as that in the DPC/SDS mixed micelles, can be used as well [16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…In earlier studies, we have shown that simulations converge to their final equilibrium state with respect to the distance between the centres of mass of the peptide and the micelle irrespective of the initial peptide position [14,15], and recently, we demonstrated that simulations are in excellent agreement with FTIR experiments [19]. Without loss of generality, here each peptide in the peptide–SDS simulations was placed in the simulation box with its centre of mass coinciding with that of the SDS micelle.…”
Section: Methodsmentioning
confidence: 77%
“…We use the molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) protocol [28] to compute the relative binding free energies of IsCT and two of its analogues to SDS and DPC micelles. These are considered simple, computationally inexpensive models of bacterial and mammalian membranes, respectively [15,19]. …”
Section: Introductionmentioning
confidence: 99%