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* Center for Cancer Research Nanobiology Program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland 21702;
Department of Physiology, Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205; and
Sackler Institute of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
Correspondence: Address reprint requests to Buyong Ma, Center for Cancer Research Nanobiology Program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD 21702. Tel.: 301-846-6540; Fax: 301-846-5598; E-mail: mab{at}ncifcrf.gov.
| ABSTRACT |
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| INTRODUCTION |
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The monomeric structures of small cytolytic peptides can be classified into three groups:
-helix, ß-sheet, and loop-strand. These peptides adopt totally different structures under different conditions, allowing the conformation to adjust to the surrounding environment. Most
-helical cytolytic peptides are largely random coil in solution and change to an
-helix within the membrane. The ß-strand and loop-strand peptides often have disulfide S-S bond(s) that constrain the peptide conformation (5
). Even though it is uncertain whether these disulfide bond-constrained peptides will have similar conformations in solution and in the membrane, it is commonly assumed that the disulfide bonds will keep the ß-sheet structure unchanged. The most prominent characteristic of the small cytolytic peptides is that they are largely amphipathic, with hydrophobic and positively charged hydrophilic regions (with an excess of Lys and Arg residues). Positively charged residues can facilitate an initial contact between the peptides and the polyanionic sites in the membrane. Amphipathicity is essential for the membrane disruption effects by these peptides (5
).
One of the best characterized ß-sheet cytolytic peptide is protegrin. Native protegrins were originally purified from porcine leukocytes. There are five known porcine protegrins, PG-1PG-5. These peptides share a common feature and conformation. Protegrin-1 (PG-1) forms the ß-hairpin conformation, which is composed of 18 amino acids (RGGRL-CYCRR-RFCVC-VGR) with a high content of cysteine (Cys) and positively charged arginine (Arg) residues. Formation of two disulfide bonds between the cysteine residues in PG-1 is crucial for the peptide activity, since the activity can be restored by stabilizing the peptide structure (2
). It was noted that the translocation ability of PG-1 is coupled to its pore-formation capacity and depends on its folding to the ß-hairpin conformation (6
). PG-1 is a very potent antibiotic peptide (7
), and experimental NMR study has revealed the three-dimensional structure of PG-1 in solution (8
).
The interaction of protegrin with the membrane strongly depends on its lipid composition. Recent experimental studies have shown that PG-1 inserts readily into a membrane composed of negatively charged anionic lipids with the phosphatidylglycerol (PG) headgroup but significantly less into a membrane composed of neutrally charged lipids with the phosphatidylcholine (PC) or phosphatidylethanolamine (PE) headgroups (9
). The major role of protegrins in the membrane is a channel formation that causes an ion leakage. Recently, it has been reported that either PG-1 or PG-3 can induce weak anion-selective channels and potassium leakage from liposomes and that PG-3 formed moderately cation-selective channels in the presence of bacterial lipopolysaccharide in planar phospholipid bilayers (10
). Formation of protegrin channels disrupts the membrane surface by creating a pore across the membrane. Recent solid-state NMR has indicated that PG-1 is fully immersed in the lipid bilayer. The quantitative mismatch between the bilayer thickness and PG-1 length has suggested a local thinning of the bilayer (11
,12
). Experimental observations for
-helical peptides indicate that the thinning effect in the lipid bilayer is responsible for the formation of pores and/or channels in the membrane (13
16
). PG-1 adopts a dimeric structure in DPC (dodecylphosphocholine) micelles, and a channel is formed by the association of several dimers (17
).
The molecular mechanisms of the membrane damage caused by non-
-helical peptides are still unknown, and the structural basis for membrane disruption is not very apparent (18
). Although recent computational efforts (19
23
) mainly focus on the antimicrobial peptides revealing the peptide/lipid interaction, peptide insertion into membrane, and a membrane thinning effect, most of these investigations involve
-helical peptides. In this work, we performed extensive molecular dynamics (MD) simulations of the PG-1 monomer in explicit water, salt, and lipid bilayers composed of both homogeneous POPC lipids and a mixture of POPC/POPG (4:1) lipids. MD simulations of the peptide conformational change and the membrane interactions can provide information complementary to experimental approaches. Our long-term goal is to provide a detailed mechanism of the membrane-disrupting effects by cationic peptides with ß-sheet structure. In this work we attempt to correlate the conformational change of the peptide and the membrane thinning effects by PG-1. In aqueous solution, the PG-1 monomer forms a more bent or collapsed structure with a loss of ß-sheet content. In contrast, the ß-hairpin is more planar at the amphipathic interface with the lipid bilayer. The conformational change indicates that the planar ß-hairpin is the new structure adopted in the lipid-rich environments. Here, we observe membrane thinning effects for the PG-1 monomer/anionic membrane system, consistent with experimental observations. Further investigation of the PG-1 oligomerization effects on the enhancement of the membrane thinning is underway. We believe that this study provides insights into the first steps of the molecular mechanism of the membrane-disrupting effects by the peptide.
| THEORETICAL CALCULATIONS |
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Building a unit cell containing a lipid bilayer
A unit cell containing two layers of lipids with almost 44,000 atoms is constructed. The ß-hairpin structure of PG-1 used in the unit cell construction is the NMR structure. The peptide is initially located at the amphipathic region of the lipid bilayer on the extracellular side, with the two disulfide bonds facing the bilayer surface. The NMR structure was obtained in solution and does not provide any information regarding lipid molecules around the peptide. Our method closely follows a previous method, which has been successfully applied to gramicidin (27
),
-helical systems (28
,29
), rhodopsin (30
), bacteriorhodopsin (31
), and fusion domain of influenza hemagglutinin (32
). Our simulation employed the NPAT (constant number of atoms, pressure, surface area, and temperature) ensemble, an effective (time-averaged) surface tension, with a constant normal pressure applied in the direction perpendicular to the membrane. An alternative protocol would involve using variable surface area controlled by constant surface tension. However, although simulations with the NP
T (constant number of atoms, pressure, surface tension, and temperature) ensemble are useful when a peptide/protein is embedded in the lipid bilayer (33
), in our case PG-1 is not fully inserted into the bilayer. Thus, since in the NP
T ensemble the precise value of the surface tension
must be specified, in our case for such a heterogeneous lipid bilayer system
is not known. For the membrane simulation, the observable macroscopic property of
cannot directly estimate the value of
for the microscopic membrane patch in the simulation (34
). This has led us to use a constant surface area, since it has been shown that a simulation with an appropriate constant surface area can be directly comparable to an applied constant surface tension (34
). In principle, holding the surface area and normal pressure constant may also present problems, since it may produce artifacts in the membrane thinning due to the confinement effect when the lipid bilayer begins to accommodate the peptide. However, the expected artifacts would be alleviated in our simulation, since PG-1 is only located at the amphipathic interface in the lipid bilayer. Spontaneous insertion of the peptide into the hydrophobic core is not observed due to the simulation timescale, which is not long enough to monitor a spontaneous insertion.
Two different types of lipid bilayers are constructed for the simulations. One is a homogeneous (or pure) lipid bilayer containing a single type of lipid molecule, POPC (palmitoyl-oleyl-phosphatidylcholine). The other is a heterogeneous (or mixed) lipid bilayer containing a mixture of lipid molecules, POPC and POPG (palmitoyl-oleyl-phosphatidylglycerol) with a ratio of POPC/POPG (4:1). The cross section areas per lipid for POPC and POPG are 63.5 Å2 and 62.8 Å2, respectively, as suggested by recent simulation studies (35
). With a choice for the number of lipid molecules, the optimal value of lateral cell dimensions can be determined. For the pure lipid bilayer, 100 POPCs (50 POPCs each side) constitute the lateral cell dimension of 56.35 x 56.35 Å. For the mixed lipid bilayer, 80 POPCs and 20 POPGs (40 POPCs and 10 POPGs each side) constitute the lateral cell dimension of 56.3 x 56.3 Å. The bilayer thickness is defined by the distance between the average positions of the phosphorus atoms in two monolayers. Recent simulation studies reported that the bilayer thickness is 35.5 Å for the pure POPC lipid bilayer and 36.0 Å for the pure POPG lipid bilayer at a temperature of 310 K (35
). We adopt a value of 35.5 Å for our POPC lipid bilayer and deduce a value of thickness of 35.6 Å for the mixed POPC/POPG (4:1) lipid bilayer. Rigid body dynamics, with constraints on the peptide backbone, was performed to obtain a better interfacial contact between the peptide and the lipid bilayer at the amphipathic interface.
A series of minimizations was performed to remove overlaps of the alkane chains and gradually relax the system. TIP3P waters were added and relaxed through a series of minimization and dynamics. Six counterions (6 Cl) were inserted to electrically neutralize the pure lipid bilayer system, since there are six positively charged amino acid residues in the peptide. To obtain a physiological salt concentration near 100 mM, an additional 16 Na+ and 16 Cl were added. The addition of explicit salt ions (more than charge-balancing counterions) to near-physiological conditions is required for reducing artifacts in the peptide conformation during the simulations (36
,37
). For the mixed lipid bilayer system, 14 Na+ as counterions are inserted to neutralize the system (the system contains six positively charged residues and 20 anionic lipids). Also, 16 Na+ and 16 Cl are added to get the same salt concentration. The initial placement of the ions is in the bulk water region, far from the peptide and the bilayer surfaces (37
). For the two different lipid bilayer systems, many different initial configurations were constructed for the relaxation process. For each lipid bilayer simulation, the best initial configuration among more than two dozens initial configurations was selected as a starting point for the final production stage. The selection process is based on the criteria that all lipids should be distributed uniformly on the membrane surface and the lipid tails should be well ordered in the calculation of the lipid order parameter.
Building a unit cell for water box simulation
The simulations without lipid molecules are relatively simple. A cubic water box with cell dimensions of 50 x 50 x 50 Å was constructed with the peptide held at the origin. The ß-hairpin structure of PG-1 from the NMR is also used for the unit cell construction. Six counterions (six Cl) were inserted to neutralize the system. In addition to the counterions, six Na+ and six additional Cl were also added to get a salt concentration near 100 mM. Salts were initially put far from the peptide. A series of minimization and dynamics for the solvent were performed with the peptide held rigid. The system was then ready for the relaxation process.
Relaxation of initial configurations and production runs
The initial configurations were gradually relaxed, with the peptide held rigid. To relax the solvent, dynamic cycles were performed with electrostatic cutoffs (12 Å) and constant temperature (Nosé-Hoover). This ensures that all degrees of freedom were adjusted as much as possible before the peptide starts to move. In subsequent stages, the peptide was harmonically restrained, with the harmonic restraints gradually diminishing, allowing the peptide to adjust to the surrounding solvent. Harmonic restraints on the peptide backbone atoms were gradually relaxed until gone, with the dynamics performed on the NPAT ensemble. A Nosé-Hoover thermostat/barostat was used to maintain a constant temperature of 310 K for the lipid systems and 300 K for the water box and a constant pressure of 1 atm. Later equilibration stages include full Ewald electrostatics. Production runs of 10 ns for the starting points were performed on a Biowulf cluster (26
) at NIH. Analysis was performed with the CHARMM programming package (24
). Recent simulation studies suggest that
10-ns duration simulations can reveal details of the interactions of lipid molecules with inner and outer membrane proteins (38
,39
).
| RESULTS |
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The details of the conformational flexibility of the PG-1 are plotted with the root mean squared deviations (RMSDs) relative to the starting point in Fig. 2 (averaged over the 10-ns simulations). The figure shows the RMSDs of C
atoms of the peptide backbone (upper) and Cß atoms of the side chains (lower panel) for PG-1 in the water box (open squares), and on the surfaces of pure lipid bilayer (inverted gray triangles) and mixed lipid bilayer (solid circles). The starting point used for reference is a relaxed structure in the CHARMM potential, with minor changes from the NMR structure (8
). Overall deviations that are very large (e.g., 510 Å or more) usually show an extremely flexible region. As expected, PG-1 in the water environment shows higher mobility than on both lipid bilayers, which is reflected in the larger deviation from the starting point, especially for both N- and C-termini and ß-turn regions. In contrast, PG-1 in both lipid settings has smaller deviations from the starting point, indicating that its average position stays close to the starting point. The larger fluctuations in the RMSD of the Cß atoms as compared to those of the C
atoms reflect the larger motions of the side chains. Note, however, that there are significant motions in the Arg side chains of PG-1 in both lipid settings (residues 911) in the ß-turn as compared to the corresponding backbone atoms. The active motions of the Arg side chains in the ß-turn are associated with the interactions of the peptide at the amphipathic interface with the lipid bilayer and contribute to the membrane disruption effects of PG-1 (see results in the last subsection).
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It can be expected that in the presence of anionic lipids, electrostatic interactions may be the dominant force in the peptide/membrane system. A favorable attraction between the PG-1 peptide containing six positively charged residues and the negatively charged bilayer surface might bring the peptide close to the bilayer surface. Thus, we investigate the peptide's location with respect to the bilayer surface. Fig. 4 shows the time series of the peptide's center of mass displacement from the bilayer surface for the pure lipid bilayer (black line) and the mixed lipid bilayer (gray line) systems. The bilayer surface is defined as the average position of the phosphate atoms on the extracellular side. As expected, PG-1 on the surface of the mixed lipid bilayer is located closer to the bilayer surface than on the pure lipid bilayer. This is consistent with the experimental observation that the ability of PG-1 to perturb and penetrate the anionic lipid bilayer is significantly enhanced compared to that of the zwitterionic lipid bilayer (9
). This suggests that the interaction of the antimicrobial peptide PG-1 with the membrane strongly depends on the composition of lipid molecules in the membrane (21
).
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) subunit at the top of the lipid head replaces the choline subunit present in POPC. The peptide induces an asymmetry in the distribution of POPC headgroups. It can be seen that the POPC headgroups on the extracellular side are distributed along the membrane normal more widely than those on the intracellular side. In the distribution of POPG headgroups, disordered arrangements of POPG heads are observed on both sides of the bilayer. We observed lipids with significantly disordered tails, especially those in contact with the peptide (see below). We suspect that the disordering of lipid tails causes the thinning of the lipid bilayer. In the distribution of salts, compared to the pure bilayer system, the probability of sodium ions near the bilayer surface at the intracellular side is very high due to the strong electrostatic attraction between sodium ions and the anionic lipids in the bilayer. On the extracellular side, the probability of sodium ions is smaller, indicating that the presence of the peptide on the bilayer surface reduces the sodium attraction. Chloride ions at the extracellular side are repelled from the bilayer surface, since the peptide/bilayer system still has a net negative charge. Water molecules in the mixed lipid bilayer behave differently compared to those in the pure lipid bilayer. In Fig. 5 c, the position probability distribution function for water, Pwater, is highlighted to compare the differences between the pure lipid bilayer (red) and the mixed lipid bilayer (blue) systems. On the intracellular side, the probability curves for water reduce to zero at z = 9 Å for both bilayer systems. However, on the extracellular side more water molecules penetrate into the hydrophobic region in the mixed lipid bilayer. The large number of water molecules penetrating the mixed lipid bilayer can characterize the complex amphipathic dynamics between the peptide and the lipid bilayer and the thinning pathway.
To investigate the average structure in the interior of the bilayer, the deuterium order parameter, SCD, was calculated using
, where
is the angle between the C-H bond vector and the membrane normal, and the angular brackets indicate averaging over time and over lipids. Fig. 6 shows the order parameters for the oleoyl (left column) and palmitoyl (right) chains for the pure lipid bilayer composed of POPC (all circles) and the mixed lipid bilayer composed of POPC/POPG (4:1) (all triangles). Lipids in the extracellular (peptide-containing) (upper panel) and intracellular (lower) sides are considered separately. On the extracellular side, lipids are further divided into two categories: local (those adjacent to the peptide) and bulk (all others) lipids. The local lipids are denoted by open symbols (open circles and triangles), and the bulk lipids are denoted by filled symbols (solid circles and gray triangles). The bars represent the standard errors. For both oleoyl and palmitoyl chains of the bulk lipids, the order parameters for both pure and mixed lipid bilayers are qualitatively similar to each other. On the extracellular side, the order parameters for the local lipids in both bilayers are significantly less than those for the bulk lipids. Note, however, that the order parameters for the local lipids in the mixed bilayer are much less than those in the pure bilayer, indicating that the local lipids in the mixed bilayer have significantly disordered tails that cause the thinning of the lipid bilayer.
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| DISCUSSION |
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The detailed mechanisms of the membrane disruption, especially those caused by ß-sheet peptides, are still unclear (18
). In this work, our attention focuses on the conformational change of PG-1 at the amphipathic interface of the lipid bilayer and on the bilayer thinning by the peptide. PG-1 shares a common conformation at the amphipathic interface of the bilayer, and the structure differs from the solution NMR structure (8
). The solution NMR structure is a slightly bent ß-hairpin, but it changes to a planar ß-hairpin at both lipid settings with the same number of intramolecular H-bonds as in the NMR structure. However, PG-1 exhibits different features at the interface of lipid bilayers with different lipid compositions. In the presence of anionic lipids in the bilayer, PG-1 locates more closely to the bilayer surface and interacts more strongly with the lipids, although the peptide has the same initial distance from the bilayer surface in the starting points of both lipid bilayers. As suggested by experimental observations, the electrostatic interactions between the positive charges of antimicrobial peptide and acidic headgroups of lipid play an important role in the peptide/lipid interaction (40
,41
), indicating that most antimicrobial peptides have a great tendency to locate at the amphipathic interface of the bilayer (42
44
). Local thinning of the lipid bilayer due to the PG-1 invasion is clearer in the lipid bilayer with anionic lipids, which is consistent with experimental observation (9
). Results of recent simulations also indicate that PG-1 interacts more strongly with an anionic micelle than a zwitterionic micelle, supporting the disruption of membrane (45
). The Arg residues in the ß-hairpin turn region are found to be mostly responsible for the local thinning effect in the mixed lipid bilayer. In the anionic lipid setting, the peptide conformational change followed by its function in a membrane environment is closely related to the mechanism of the membrane thinning effect.
In our simulation, lateral hopping between lipid molecules was not observed, since the timescale for such two-dimensional diffusion ranges from a few hundred nanoseconds to a microsecond, which is far beyond the timescale of our simulations. Thus the anionic lipids did not exchange their positions to condense around the cationic peptide. However the peptide is very mobile, indicating that the peptide can easily slip into the local energy minimum site. At the starting points of both lipid simulations, all lipids were distributed uniformly on the membrane surface, and after the complete preequilibration stage (details are provided in the Theoretical Calculations section), no deficiency in the lateral distribution of the lipids was observed before the production runs. Hence, our simulation results are not affected by the initial distribution of the lipid molecules. We note however that for the mixed lipid bilayer, different arrangements of the anionic lipid around the peptide may alter the final peptide conformation. Nevertheless, the effect is very subtle, and hence does not affect the trend observed here.
Our simulation results provide important guidelines for how the environment supports the PG-1 conformation and how the PG-1 activity adapts to the environment. Although the PG-1 monomer indeed induces local thinning of the lipid bilayer with anionic lipids, the membrane-disrupting effects such as pore/channel formation are directly mediated by packing of PG-1 dimers into ordered aggregates (17
,46
,47
). Recent experimental studies demonstrate that the solid-state aggregation of PG-1 is consistent with its ordered aggregation in bilayers (46
,47
). Further investigations of the PG-1 dimers in different intermolecular packing and in different settings of the lipid bilayers are being conducted to further our understanding of the complex behavior of membrane disruption.
| ACKNOWLEDGEMENTS |
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This project was funded in whole or in part by the U.S. Army Medical Research Acquisition Activity under grant W81XWH-05-1-0002 and with federal funds from the National Cancer Institute, National Institutes of Health (NIH), under contract number NO1-CO-12400. This research was supported (in part) by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.
Submitted on February 24, 2006; accepted for publication July 12, 2006.
| REFERENCES |
|---|
|
|
|---|
2. Lai, J. R., B. R. Huck, B. Weisblum, and S. H. Gellman. 2002. Design of non-cysteine-containing antimicrobial ß-hairpins: structure-activity relationship studies with linear protegrin-1 analogues. Biochemistry. 41:1283512842.[CrossRef][Medline]
3. Gobbo, M., L. Biondi, F. Filira, R. Gennaro, M. Benincasa, B. Scolaro, and R. Rocchi. 2002. Antimicrobial peptides: synthesis and antibacterial activity of linear and cyclic drosocin and apidaecin 1b analogues. J. Med. Chem. 45:44944504.[CrossRef][Medline]
4. Panchal, R. G., M. L. Smart, D. N. Bowser, D. A. Williams, and S. Petrou. 2002. Pore-forming proteins and their application in biotechnology. Curr. Pharm. Biotechnol. 3:99115.[CrossRef][Medline]
5. Sitaram, N., and R. Nagaraj. 1999. Interaction of antimicrobial peptides with biological and model membranes: structural and charge requirements for activity. Biochim. Biophys. Acta. 1462:2954.[Medline]
6. Drin, G., and J. Temsamani. 2002. Translocation of protegrin I through phospholipid membranes: role of peptide folding. Biochim. Biophys. Acta. 1559:160170.[Medline]
7. Miyasaki, K. T., and R. I. Lehrer. 1998. ß-sheet antibiotic peptides as potential dental therapeutics. Int. J. Antimicrob. Agents. 9:269280.[CrossRef][Medline]
8. Fahrner, R. L., T. Dieckmann, S. S. Harwig, R. I. Lehrer, D. Eisenberg, and J. Feigon. 1996. Solution structure of protegrin-1, a broad-spectrum antimicrobial peptide from porcine leukocytes. Chem. Biol. 3:543550.[CrossRef][Medline]
9. Gidalevitz, D., Y. Ishitsuka, A. S. Muresan, O. Konovalov, A. J. Waring, R. I. Lehrer, and K. Y. Lee. 2003. Interaction of antimicrobial peptide protegrin with biomembranes. Proc. Natl. Acad. Sci. USA. 100:63026307.
10. Sokolov, Y., T. Mirzabekov, D. W. Martin, R. I. Lehrer, and B. L. Kagan. 1999. Membrane channel formation by antimicrobial protegrins. Biochim. Biophys. Acta. 1420:2329.[Medline]
11. Buffy, J. J., T. Hong, S. Yamaguchi, A. J. Waring, R. I. Lehrer, and M. Hong. 2003. Solid-state NMR investigation of the depth of insertion of protegrin-1 in lipid bilayers using paramagnetic Mn2+. Biophys. J. 85:23632373.
12. Yamaguchi, S., T. Hong, A. Waring, R. I. Lehrer, and M. Hong. 2002. Solid-state NMR investigations of peptide-lipid interaction and orientation of a ß-sheet antimicrobial peptide, protegrin. Biochemistry. 41:98529862.[CrossRef][Medline]
13. Chen, F. Y., M. T. Lee, and H. W. Huang. 2003. Evidence for membrane thinning effect as the mechanism for peptide-induced pore formation. Biophys. J. 84:37513758.
14. Zakharov, S. D., E. A. Kotova, Y. N. Antonenko, and W. A. Cramer. 2004. On the role of lipid in colicin pore formation. Biochim. Biophys. Acta. 1666:239249.[Medline]
15. Mecke, A., D. K. Lee, A. Ramamoorthy, B. G. Orr, and M. M. Banaszak Holl. 2005. Membrane thinning due to antimicrobial peptide binding: an atomic force microscopy study of MSI-78 in lipid bilayers. Biophys. J. 89:40434050.
16. Allende, D., S. A. Simon, and T. J. McIntosh. 2005. Melittin-induced bilayer leakage depends on lipid material properties: evidence for toroidal pores. Biophys. J. 88:18281837.
17. Roumestand, C., V. Louis, A. Aumelas, G. Grassy, B. Calas, and A. Chavanieu. 1998. Oligomerization of protegrin-1 in the presence of DPC micelles. A proton high-resolution NMR study. FEBS Lett. 421:263267.[CrossRef][Medline]
18. Bechinger, B. 2000. Understanding peptide interactions with the lipid bilayer: a guide to membrane protein engineering. Curr. Opin. Chem. Biol. 4:639644.[CrossRef][Medline]
19. Berneche, S., M. Nina, and B. Roux. 1998. Molecular dynamics simulation of melittin in a dimyristoylphosphatidylcholine bilayer membrane. Biophys. J. 75:16031618.
20. Shepherd, C. M., H. J. Vogel, and D. P. Tieleman. 2003. Interactions of the designed antimicrobial peptide MB21 and truncated dermaseptin S3 with lipid bilayers: molecular-dynamics simulations. Biochem. J. 370:233243.[CrossRef][Medline]
21. Lensink, M. F., B. Christiaens, J. Vandekerckhove, A. Prochiantz, and M. Rosseneu. 2005. Penetratin-membrane association: W48/R52/W56 shield the peptide from the aqueous phase. Biophys. J. 88:939952.
22. Kandasamy, S. K., and R. G. Larson. 2005. Molecular dynamics study of the lung surfactant peptide SP-B1-25 with DPPC monolayers: insights into interactions and peptide position and orientation. Biophys. J. 88:15771592.
23. Appelt, C., F. Eisenmenger, R. Kuhne, P. Schmieder, and J. A. Soderhall. 2005. Interaction of the antimicrobial peptide cyclo(RRWWRF) with membranes by molecular dynamics simulations. Biophys. J. 89:22962306.
24. Brooks, B. R., R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan, and M. Karplus. 1983. CHARMMa program for macromolecular energy, minimization, and dynamics calculations. J. Comput. Chem. 4:187217.[CrossRef]
25. Phillips, J. C., R. Braun, W. Wang, J. Gumbart, E. Tajkhorshid, E. Villa, C. Chipot, R. D. Skeel, L. Kale, and K. Schulten. 2005. Scalable molecular dynamics with NAMD. J. Comput. Chem. 26:17811802.[CrossRef][Medline]
26. National Institutes of Health. Biowulf at the NIH. http://biowulf.nih.gov. [Online].
27. Woolf, T. B., and B. Roux. 1994. Molecular dynamics simulation of the gramicidin channel in a phospholipid bilayer. Proc. Natl. Acad. Sci. USA. 91:1163111635.
28. Woolf, T. B. 1997. Molecular dynamics of individual alpha-helices of bacteriorhodopsin in dimyristol phosphatidylocholine. I. Structure and dynamics. Biophys. J. 73:23762392.
29. Woolf, T. B. 1998. Molecular dynamics simulations of individual alpha-helices of bacteriorhodopsin in dimyristoylphosphatidylcholine. II. Interaction energy analysis. Biophys. J. 74:115131.
30. Crozier, P. S., M. J. Stevens, L. R. Forrest, and T. B. Woolf. 2003. Molecular dynamics simulation of dark-adapted rhodopsin in an explicit membrane bilayer: coupling between local retinal and larger scale conformational change. J. Mol. Biol. 333:493514.[CrossRef][Medline]
31. Jang, H., P. S. Crozier, M. J. Stevens, and T. B. Woolf. 2004. How environment supports a state: molecular dynamics simulations of two states in bacteriorhodopsin suggest lipid and water compensation. Biophys. J. 87:129145.
32. Lagüe, P., B. Roux, R. W. Pastor. 2005. Molecular dynamics simulations of the influenza hemagglutinin fusion peptide in micelles and bilayers: conformational analysis of peptide and lipids. J. Mol. Biol. 354:11291141.[CrossRef][Medline]
33. Zhang, Y. H., S. E. Feller, B. R. Brooks, and R. W. Pastor. 1995. Computer simulation of liquid/liquid interfaces. 1. Theory and application to octane/water. J. Chem. Phys. 103:1025210266.[CrossRef]
34. Feller, S. E., and R. W. Pastor. 1999. Constant surface tension simulations of lipid bilayers: the sensitivity of surface areas and compressibilities. J. Chem. Phys. 111:12811287.[CrossRef]
35. Rog, T., K. Murzyn, and M. Pasenkiewicz-Gierula. 2003. Molecular dynamics simulations of charged and neutral lipid bilayers: treatment of electrostatic interactions. Acta Biochim. Pol. 50:789798.[Medline]
36. Ibragimova, G. T., and R. C. Wade. 1998. Importance of explicit salt ions for protein stability in molecular dynamics simulation. Biophys. J. 74:29062911.
37. Pfeiffer, S., D. Fushman, and D. Cowburn. 1999. Impact of Cl and Na+ ions on simulated structure and dynamics of ßARK1 PH domain. Proteins. 35:206217.[CrossRef][Medline]
38. Deol, S. S., P. J. Bond, C. Domene, and M. S. Sansom. 2004. Lipid-protein interactions of integral membrane proteins: a comparative simulation study. Biophys. J. 87:37373749.
39. Domence, C., P. J. Bond, S. S. Deol, and M. S. P. Sansom. 2003. Lipid/protein interactions and the membrane/water interfacial region. J. Am. Chem. Soc. 125:1496614967.[CrossRef][Medline]
40. Gazit, E., A. Boman, H. G. Boman, and Y. Shai. 1995. Interaction of the mammalian antibacterial peptide cecropin P1 with phospholipid vesicles. Biochemistry. 34:1147911488.[CrossRef][Medline]
41. Gazit, E., W. J. Lee, P. T. Brey, and Y. Shai. 1994. Mode of action of the antibacterial cecropin B2: a spectrofluorometric study. Biochemistry. 33:1068110692.[CrossRef][Medline]
42. Glaser, R. W., C. Sachse, U. H. Durr, P. Wadhwani, S. Afonin, E. Strandberg, and A. S. Ulrich. 2005. Concentration-dependent realignment of the antimicrobial peptide PGLa in lipid membranes observed by solid-state 19F-NMR. Biophys. J. 88:33923397.
43. Yamaguchi, S., D. Huster, A. Waring, R. I. Lehrer, W. Kearney, B. F. Tack, and M. Hong. 2001. Orientation and dynamics of an antimicrobial peptide in the lipid bilayer by solid-state NMR spectroscopy. Biophys. J. 81:22032214.
44. Marassi, F. M., S. J. Opella, P. Juvvadi, and R. B. Merrifield. 1999. Orientation of cecropin A helices in phospholipid bilayers determined by solid-state NMR spectroscopy. Biophys. J. 77:31523155.
45. Langham, A. A., H. Khandelia, and Y. N. Kaznessis. 2006. How can a ß-sheet peptide be both a potent antimicrobial and harmfully toxic? Molecular dynamics simulations of protegrin-1 in micelles. Biopolymers. 84:219231.[CrossRef][Medline]
46. Buffy, J. J., A. J. Waring, and M. Hong. 2005. Determination of peptide oligomerization in lipid bilayers using 19F spin diffusion NMR. J. Am. Chem. Soc. 127:44774483.[CrossRef][Medline]
47. Tang, M., A. J. Waring, and M. Hong. 2005. Intermolecular packing and alignment in an ordered ß-hairpin antimicrobial peptide aggregate from 2D solid-state NMR. J. Am. Chem. Soc. 127:1391913927.[CrossRef][Medline]
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