Biophysical Journal 86:3607-3619 (2004)
© 2004 The Biophysical Society
Membrane Perturbation Induced by Interfacially Adsorbed Peptides
Assaf Zemel *,
Avinoam Ben-Shaul * and
Sylvio May
* Department of Physical Chemistry and the Fritz Haber Research Center, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; and
Institut für Molekularbiologie, Friedrich-Schiller-Universität Jena, 07745 Jena, Germany
Correspondence: Address reprint requests to Sylvio May, Institut für Molekularbiologie, Winzerlaer Strasse 10, 07745 Jena, Germany. Tel.: 49-3641-657582; E-mail: Silvio.May{at}uni-jena.de.
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ABSTRACT
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The structural and energetic characteristics of the interaction between interfacially adsorbed (partially inserted)
-helical, amphipathic peptides and the lipid bilayer substrate are studied using a molecular level theory of lipid chain packing in membranes. The peptides are modeled as "amphipathic cylinders" characterized by a well-defined polar angle. Assuming two-dimensional nematic order of the adsorbed peptides, the membrane perturbation free energy is evaluated using a cell-like model; the peptide axes are parallel to the membrane plane. The elastic and interfacial contributions to the perturbation free energy of the "peptide-dressed" membrane are evaluated as a function of: the peptide penetration depth into the bilayer's hydrophobic core, the membrane thickness, the polar angle, and the lipid/peptide ratio. The structural properties calculated include the shape and extent of the distorted (stretched and bent) lipid chains surrounding the adsorbed peptide, and their orientational (C-H) bond order parameter profiles. The changes in bond order parameters attendant upon peptide adsorption are in good agreement with magnetic resonance measurements. Also consistent with experiment, our model predicts that peptide adsorption results in membrane thinning. Our calculations reveal pronounced, membrane-mediated, attractive interactions between the adsorbed peptides, suggesting a possible mechanism for lateral aggregation of membrane-bound peptides. As a special case of interest, we have also investigated completely hydrophobic peptides, for which we find a strong energetic preference for the transmembrane (inserted) orientation over the horizontal (adsorbed) orientation.
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INTRODUCTION
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The broad-spectrum antimicrobial activity of many naturally occurring
-helical amphipathic peptides such as melittin, magainins, cecropins, ovispirin, dermaseptins, and others most likely follows from their strong tendency to adsorb onto lipid membranes and from their capacity to perforate them (Hancock et al., 1995
; Nicolas and Mor, 1995
; Epand and Vogel, 1999
; Yamaguchi et al., 2001
). Their activity is not mediated by specific receptors, but rather correlated with a number of characteristic structural motifs. Upon binding to the lipid membrane they fold into an amphipathic
-helix comprising complementary hydrophobic and hydrophilic faces. The hydrophilic face typically includes between two and six cationic charges. Most
-helical antimicrobial peptides are short, with their length comparable to the thickness of a lipid bilayer, namely 2040 Å (Bechinger, 1997
). Due to their nonspecific (i.e., not receptor-mediated) interaction with membranes, amphipathic peptides were suggested as alternatives to conventional antibiotics. This has initiated numerous experimental studies designed to uncover the mechanisms of peptide-induced membrane perforation (Matsuzaki, 1999
; Bechinger, 2001
; Dathe and Wieprecht, 1999
). For many amphipathic peptides, like those mentioned above, solid state NMR, oriented circular dichroism, and Fourier transform infrared spectroscopy (Bechinger, 1999
), as well as x-ray measurements (Hristova et al., 2001
; White and Wimley, 1998
) all support the conclusion that below a threshold peptide/lipid ratio of the order of 1:100 (depending on the lipid and the peptide type), the peptides orient horizontally parallel to the lipid membrane interface, with the polar part inserted between the lipid headgroups and the hydrophobic face buried inside the hydrocarbon core. At this particular spatial orientation, amphipathic peptides modulate the physical properties of the host membrane. This concerns, for example, a decrease of membrane thickness (Ludtke et al., 1995
), modifications of the molecular order parameter along the lipid chains (Koenig et al., 1999
), the thermotropic phase behavior of the membrane (Jing et al., 2003
), or the peptide's propensity to alter the preferred bilayer curvature (Epand, 1997
).
Peptide adsorption onto the membrane surface, which is the subject matter of this study, constitutes an essential first step in the membrane perforation mechanism. The interfacially adsorbed amphipathic peptides that self-assemble within the membrane plane eventually aggregate into a "carpet" that leads to membrane solubilization in a detergent-like mechanism or undergoes a cooperative transition from the "horizontal" (membrane-parallel) orientation to a "perpendicular" (membrane-inserted) state, whereby groups of several peptides join to form transmembrane pores (Oren and Shai, 1998
; He et al., 1996
; Zuckermann and Heimburg, 2001
; Zemel et al., 2003
).
Notwithstanding the progress in the biophysical characterization of the peptide-dressed membrane, molecular-level understanding of the structural and energetic characteristics of the interaction between amphipathic peptides and lipid membranes is still lacking. To a large extent, this is due to the complexity of the underlying interactions, namely, the electrostatic interactions between the peptide's cationic residues and the dipolar (or anionic) lipid headgroups, the desolvation of hydrophobic side chains upon penetration into the hydrocarbon core of the host membrane, and conformational changes of the peptide's backbone, as well as changes in the packing properties of the lipid chains in the vicinity of the peptide (White and Wimley, 1998
). Modeling of peptide-containing membranes can be helpful in understanding their structural properties and energetics. For example, molecular dynamics simulations provide atomic-level information, typically within timescales of a few up to 100 ns (Shepherd et al., 2003
; Lin and Baumgärtner, 2000
; La Rocca et al., 1999
; Saiz et al., 2002
). Often, however, the timescales of interest, e.g., of peptide self-assembly in the membrane plane, are much longer. An alternative (and computationally much less expensive) approach to study membrane-mediated interactions between peptides is provided by continuum, membrane elasticity theories. This approach is commonly applied to transmembrane peptides or proteins (Huang, 1986
; Aranda-Espinoza et al., 1996
; May and Ben-Shaul, 1999
) and has proved to yield useful information for the interpretation of experimental data (Nielsen et al., 1998
; Harroun et al., 1999
). Its application to interfacially adsorbed peptides requires additional approximations, associated with the lower symmetry of the problem, reflecting the partial penetration of the peptides (as compared to transmembrane) into one monolayer of the membrane (Huang, 1995
). Intermediate between the continuum and atomic-level approaches are molecular-level, mean-field theories of conformational chain-packing statistics in lipid membranes, (and other, e.g., micellar, aggregates of amphiphilic molecules). In the past, a theory of this kind has been employed to describe in detail the conformational properties of lipid tails in various aggregation geometries, showing very good agreement with experimental results pertaining to a variety of single molecule properties, e.g., orientational bond order parameters of the lipid tails, as well as thermodynamic membrane characteristics such as the curvature elasticity of lipid bilayers (Ben-Shaul, 1995
). This approach has been extended to lipid-protein systems, and used to calculate interaction energies between a lipid bilayer and a membrane-spanning protein (Fattal and Ben-Shaul, 1993
), as well as the membrane-mediated interaction between transmembrane proteins (May and Ben-Shaul, 2000
).
In this work, we extend and apply this chain-packing theory to a lipid membrane that contains interfacially adsorbed amphipathic peptides. That is, we calculate the contribution of the lipid tails to the membrane-peptide interaction free energy, as a function of the penetration depth of the peptide into the membrane. The
-helical peptides are modeled as cylinder-like rigid molecules that are oriented parallel to the membrane surface. Their optimal penetration depth is determined by the balance between the interfacial (hydrophobic) free energy, which depends on the polar angle (defining the peptide's sector spanned by the hydrophilic residues), and the elastic perturbation free energy of the lipid chains constituting the hydrophobic core of the host membrane. Our approach treats the lipid chain packing within the hydrocarbon core of the membrane in molecular detail; yet, to keep the model computationally feasible, we have employed two significant approximations: first, we impose the membrane to be flat, and second, we assume that the thickness of its hydrophobic core is uniform throughout, i.e., we allow for global but not local modulations in membrane thickness. These additional constraints may result in somewhat higher estimates of the peptide-dressed membrane free energy. However, they should not significantly affect the major conclusions of this study pertaining to three central issues: i), the changes in molecular packing characteristics of the lipid chains surrounding the adsorbed peptides, e.g., their orientational bond order parameters; ii), the peptide-induced modifications of membrane thickness; and iii), the nature of the interaction potential between the adsorbed peptides. Moreover, to compare our calculations with experimental results, we shall focus on the regime of high peptide concentrations where the average interhelical distances between peptides are not much larger than the typical decay length of membrane thickness variations. Membrane elasticity theory predicts that this decay length is in the nanometer range (Harroun et al., 1999
), suggesting that local modulations in membrane thickness at high peptide concentrations are minor.
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THEORY
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We consider a flat lipid bilayer, oriented normal to the z axis of a Cartesian coordinate system, with
-helical amphipathic peptides adsorbed onto one, say the "external", monolayer, as is schematically depicted in Fig. 1.

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FIGURE 1 Schematic illustration of a lipid bilayer with adsorbed, partially inserted -helical peptides on its upper ("external") monolayer. The high peptide concentration results in nematic orientational order of the peptides' long axes. The dashed lines denote the boundaries of a unit cell; some lipids are depicted schematically.
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The peptides are modeled as cylinders, whose envelope involves a well-defined polar face subtending the "hydrophilic" angle
, and a complementary hydrophobic face of angle 2
. Neglecting atomic details, we treat the peptides as rigid cylinders of length D and radius rP, with their long axis parallel to the bilayer (x, y) plane, and with their hydrophobic sector inserted into the hydrocarbon core of the external monolayer. To account for changes in peptide surface concentration, we adopt a cell model approximation, whereby each adsorbed peptide is associated with a cell containing N lipid chains, reflecting the peptide/lipid ratio 1/N for single-tailed lipids. (The corresponding number for the biologically more relevant double-tailed lipids is 2/N. Yet, below we shall treat all lipid chains on the same theoretical level so that the distinction between single-tailed and double-tailed lipids becomes irrelevant. For simplicity, we thus shall focus on single-tailed lipids.) Denoting the number of lipid chains in the external monolayer by NE; the corresponding number in the apposedpeptide free("internal") monolayer, NI = N NE, is generally different from NE. In all the calculations presented below, we shall determine these numbers assuming that the system has reached complete equilibrium (including lipid flip-flop between monolayers).
At high peptide concentration, the interhelical distance L is of order of (possibly even smaller than) the peptide length D. Such a two-dimensional (2D) fluid of membrane-bound peptides should exhibit a long range 2D nematic order (roughly) when L falls below D. Based on this notion, we simplify the definition of our cell model by assuming that all adsorbed peptides are perfectly aligned along one, say the y (the "director") axis. For this aligned ensemble of partially inserted peptides, the packing properties of the lipids will mostly depend on the distances between neighboring peptides along the x direction, with minor modulation along the y direction due to modified chain packing around the peptide ends. Neglecting these end effects renders the packing of the lipid molecules uniform in y direction, an approximation that we shall adopt in this work. Accordingly, we treat the membrane properties as translationally invariant along the y direction. The unit cell is a box of dimensions L x D x h, as depicted in Fig. 2, h denoting the (uniform) thickness of the hydrophobic core.

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FIGURE 2 Schematic illustration of a lipid bilayer section (the "unit cell") containing one, partially inserted, amphipathic peptide. The depth of insertion p defines the insertion angle corresponding to the peptide sector facing the aqueous environment. In general, this angle is equal to the peptide's polar angle. The (average) interaxial distance between neighboring peptides is L. Note that the thickness of the membrane's hydrocarbon core, h, is assumed to be constant throughout the membrane. Some lipids are depicted schematically.
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Geometrical considerations
The volume
 | (1) |
of the unit cell involves two contributions. The first, VL = N
, is the volume occupied by the N lipid tails, each of molecular volume
. In this work we consider fully saturated hydrocarbon chains of the form (CH2)13 CH3, (or, in short, C-14 chains). Each methylene group, occupying a volume
27 Å3, is counted as one "chain segment" whereas the terminal methyl group is approximately twice as large and will be counted as two chain segments. The chain volume is thus
15 x
= 405 Å3.
The second contribution to V is that of the membrane-inserted part of the peptide, given by
 | (2) |
where
is the "insertion angle" defined by the peptide's sector facing the aqueous region. Exposing the peptide's hydrophobic face to the aqueous phase involves a large energetic penalty of magnitude
PAexp, where Aexp is the exposed contact area and
P the effective (unfavorable) surface tension between the peptide's nonpolar face and the aqueous solution. Although
P may vary from one peptide to another (as discussed in more detail below; see Eq. 26), for all reasonable values of
P (
P
0.02 kBT/Å2), exposing a significant part of the hydrophobic face to water inflicts an intolerable energetic penalty. Hence, one can safely assume that, at equilibrium, the insertion angle coincides with the peptide's hydrophilic angle, which also implies that this hydrophilic angle dictates the penetration depth, p, of the peptide into the hydrophobic core. Explicitly, p = rP[1 + cos(
/2)] (see Fig. 2). Thus, for fixed lipid/peptide ratio (N), and given peptide geometry (rP and
), Eq. 1 provides a direct relationship between L and h.
Another important geometric determinant is the contact area, AL, between the lipid tails and the polar environment. It can be expressed as AL = 2LD aP, where
 | (3) |
is the cross-sectional area of the peptide, measured at the interfacial plane, z = h/2. The quantity AL defines the average cross-sectional area per lipid tail, aL = AL/N, measured at the membrane interfaces (z = ±h/2). Equivalently, it defines the average headgroup density of the lipids,
(recall that we consider single-tailed lipids; for double-tailed lipids,
should be multiplied by 1/2).
The free energy
For any given geometry of the unit cell, as specified by N, p, and h (or, equivalently, D, L, and h), we write F = F(N, p, h), the free energy per unit cell (equivalently, per peptide), as a sum of two contributions
 | (4) |
The first term, Fi, arises from the (unfavorable) interfacial energy associated with the exposure of hydrophobic lipid chain segments to the aqueous environment. As usual, this energy is modeled here using the familiar simple form,
 | (5) |
where AL = NaL is the overall hydrocarbon-water contact area and
is the surface tension, which should be on the order of the oil-water interfacial tension, i.e.,
0.1 kBT/Å2, where kB is Boltzmann's constant and T the absolute temperature. Note that the area per lipid chain, aL, depends on both h and p.
The second contribution, Fc, arises from the peptide-induced perturbation to the packing properties of the lipid chains within the membrane. In the presence of a peptide, the conformational free energy of a given lipid chain depends on its position along the x axis:
and
for lipids originating from the external and internal monolayer, respectively. Denoting the corresponding 2D densities of lipid headgroups along the x axis by
E(x) and
I(x), we express Fc as an integral over the local contributions from all lipids within the unit cell
 | (6) |
In the peptide-free membrane, all lipids share the same conformational properties, and hence
is constant and
only depends on the membrane thickness h. Note that, generally, the headgroup densities of the lipids,
E(x) and
I(x), must comply with the conservation of the number
of lipids within the unit cell, implying
 | (7) |
Clearly, since lipid headgroups cannot enter the surface region occupied by the peptide,
E(x)
0 in this region, corresponding to |x|
aP/2D = rP sin(
/2).
The conformational free energy per lipid chain originating at position x of the external monolayer,
can be expressed in the form (May and Ben-Shaul, 2000
)
 | (8) |
The first term here accounts for the "demixing" (translational) entropy of the headgroups with respect to the uniform distribution,
The second contribution is the conformational free energy per lipid. It involves the conditional probability, PE(
| x), of a lipid chain anchored at position x of the external monolayer to be found in conformation
. The conditional probability is normalized,
for all accessible x. The summation in Eq. 8 runs over all possible chain conformations, specified by the positions of all chain segments that constitute the chain;
(
) is the corresponding internal (trans/gauche) energy of the chain. Excluded from the sum are all chain conformations for which one or more chain segments protrude beyond the hydrophobic core into the aqueous environment. Similarly, we discard all conformations "intersecting" the peptide's boundaries.
We identify
as the average internal energy of a chain attached to the external monolayer at position x. Similarly,
is the conformational entropy of this chain. Note that 
(
)
E = 
(
)
E(x) and
s
E =
s
E(x) depend on the anchoring position x of the chain origin. Particularly, the presence of a rigid and impenetrable peptide reduces the number of accessible chain conformations for the lipids in the vicinity of the peptide. Consequently, we expect
s
E to be larger for lipids farther away from the peptide. Note finally that an analogous expression as for
is also valid for
The conformational free energy, Fc (unlike Fi = Fi(h, p)), depends on the functions
E(x),
I(x), PE(
|x), and PI(
|x). In thermodynamic equilibrium, Fc is minimal with respect to these quantities, subject to all relevant constraints. As in previous applications of this formalism, we impose only one packing constraint, namely, that of uniform density everywhere within the hydrocarbon core, reflecting the liquid-like nature of the lipid bilayer. The hydrophobic chain region is thus treated as a fluid-like, incompressible medium with uniform density of chain segments throughout. This assumption is not affected by the presence of the peptide. The peptide only excludes a region of the lipid bilayer from being part of the hydrocarbon core and (or) headgroup region.
We emphasize that the condition of uniform chain packing is our only constraint in the minimization of Fc. Thus, the headgroup densities,
E(x) and
I(x), can freely adjust, ensuring an optimal lipid distribution,
and
within the two monolayers. In other words, our approach accounts for optimal flip-flop of the lipids between the two bilayer leaflets.
For the mathematical expression of the uniform density constraint, consider a small volume element d3r at position r within the hydrocarbon core. Denote by
E(
, x; r) the density of chain segments at position r, due to a lipid chain in conformation
whose headgroup is anchored at position x of the external monolayer. The density of chain segments at r, contributed by all lipids from both the external and internal monolayer is then
 | (9) |
where
I(
, x;r) is defined in analogy to
E(
, x; r). The constraint of uniform chain segment density within the entire hydrocarbon chain region is thus
 | (10) |
for all positions r within the hydrocarbon core.
Minimization (in fact, functional minimization) of Fc = Fc[
E(x),
I(x), PE(
| x), PI(
| x)] subject to Eq. 10 leads to the (local, at x) probability distribution of chain conformations as was previously derived by May and Ben-Shaul (2000)
,
 | (11) |
with the generalized Boltzmann factor
 | (12) |
The normalization,
is ensured by
 | (13) |
representing the partition function per lipid chain, attached at position x to the external monolayer. Analogous expressions of PI(
|x),
I(
, x), and qI(x) hold for the internal monolayer.
The (dimensionless) function
(r), appearing in Eq. 12, represents the Lagrangian multipliers conjugate to the constraint in Eq. 10. Because uniform chain segment density is imposed at each position r within the hydrocarbon core, the integration
must run over the entire volume VL = N
occupied by the N lipid chains of the unit cell.
Minimization of Fc also leads to the equilibrium headgroup distributions
 | (14) |
with
 | (15) |
representing the partition function of the entire unit cell of the lipid bilayer. Again, the partition function ensures proper normalization: inserting Eqs. 14 into Eq. 15 recovers Eq. 7.
Calculation of the chain conformational properties, specified by PE(
|x) and PI(
|x), and of the headgroup densities,
E(x) and
I(x), requires the determination of the Lagrangian multipliers,
(r), at each point within the volume, VL, of the hydrocarbon core. The function
(r) is obtained by solving the self-consistency equations
 | (16) |
which are obtained by inserting PE(
|x), PI(
|x),
E(x), and
I(x) (see Eq. 11 and Eqs. 14) into the constraint
(see Eq. 10) with the average 
(r)
defined in Eq. 9.
The self-consistency equations are a coupled set of transcendental equations for the function
(r) at all points r that are enclosed within VL. The numerical procedure, employed to solve Eqs. 16, is based on a discretization scheme and has been described in previous work (May and Ben-Shaul, 2000
).
Once
(r) is known, we can calculate the conformational free energy, Fc, of the membrane per peptide. Introducing the expressions for PE(
| x), PI(
| x),
E(x), and
I(x) into Fc, we arrive (after some algebra) at
 | (17) |
A convenient reference state for calculating the free energy is the peptide-free bilayer. In this case, all physical quantities are constant along the x axis (as they are along the y axis), i.e., qE(x) = qI(x) = q and
etc.; and the Lagrangian parameters,
depend only on the normal direction (the z direction) of the membrane. As already mentioned above, the corresponding free energy then depends only on the membrane thickness, h, and will be denoted by
Similarly, the overall free energy for the peptide-free membrane (containing N lipids) will be denoted by F0(h).
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RESULTS AND DISCUSSION
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In this section, we present and discuss the results of calculations pertaining to a number of central conformational lipid chain properties, as well as the free energies of peptide-dressed lipid bilayers. In all calculations, we use rP = 6 Å for the radius of the cylindrical peptide rod, and D = 30 Å for its length. As already mentioned, we shall present all results for C-14 lipid chains, each of which occupies a volume of
= 405 Å3 within the hydrophobic core in its liquid state. We shall use
= 0.08 kBT/Å2 for the surface tension corresponding to the hydrocarbon-water interface.
Single-chain properties
The average cross-sectional area per lipid chain (equivalently per lipid headgroup for single-tailed lipids) in an unperturbed (peptide-free) bilayer is typically in the range aL = 30 35 Å2; for concreteness, we choose aL = 31.2 Å2, implying a thickness h* = 2
/aL = 26 Å of the hydrocarbon core.
Consider now a peptide-containing membrane with lipid/peptide ratio N = 80 (or, equivalently, N = 40 for double-chained lipids). This choice is motivated by recent experimental investigations in which similar lipid/peptide ratios were used (Koenig et al., 1999
; Ludtke et al., 1995
; Chen et al., 2003
). The extension, L, of the corresponding unit cell along the x axis is L = (
N + VP)/(hD) (see Eq. 1). For example, the specific choice h = h* = 26 Å and
=
results in (see Eq. 2)
and thus L = 44 Å. Hence, our choice N = 80 is representative for high peptide concentrations because the interhelical distance compares with the peptide length and with the perturbation decay length as illustrated in Fig. 4 below. We note, however, that even higher peptide concentrations with 1/N
1/10 are commonly used in solid-state NMR investigations (Yamaguchi et al., 2001
; Bechinger, 1999
). Fig. 3 shows for N = 80 a cross section of the bilayer within the x, z plane, where for some arbitrarily chosen chain origins the average positions of the chain segments are displayed; 15 per chain, corresponding to C-14 chains, with the first segment denoting the headgroup position. Also shown arefor the same chain origins xthe regions (shaded areas) within which the corresponding lipid chain is found with a probability of 85%. The calculation of this probability is based on the probability density,
of a lipid chain attached at position x to the external monolayer
 | (18) |
where we recall that
/
= 15 is the number of segments per chain, (with the volume taken up by a CH3 counting as twice the volume per CH2 group,
). Similar considerations apply for the internal monolayer. For each position, x, at the hydrocarbon interface, the probability density,
fulfills the normalization condition
 | (19) |
The shaded areas in Fig. 3 enclose a volume
whose boundary points fulfill
and for which
Clearly, and as illustrated in Fig. 3, those chains in immediate vicinity of the peptide must bend strongly to fill up the hydrophobic core region "under" the adsorbed peptide. Yet, lipid chains attached to the apposed (the internal) monolayer are also affected by the presence of the peptide. In fact, those chains opposite to the peptide (|x|
10Å) are significantly stretched (on average) to help fill up the space just under the peptide rod. Bending and stretching of the lipid chains is accompanied by an increase of the headgroup densities,
E(x) and
I(x), of the external and internal monolayer, respectively, as is shown in Fig. 4. In other words, the average cross-sectional area per lipid, aL, decreases as the chain origin gets closer to the peptide. This effect is present in both monolayers but is more pronounced in the external (peptide-hosting) one. Note that (the generally repulsive) direct headgroup interactions (which are not taken into account in this work) could lead to a somewhat less pronounced modulation profile than that shown in Fig. 4. Still, the tendency of the lipid headgroups to increase their density near interfacially adsorbed peptides should be a general conclusion, irrespective of their interaction strength.
Furthermore, Fig. 4 shows that the decay length of the lipid perturbation extends 3040 Å away from the peptide. This implies that any local curvature deformation must relax within this range. A somewhat larger decay length of 62 Å was estimated based on a recent x-ray experiment performed with 1,2-dimyristoyl-sn-glycero-3-phosphatidylcholine bilayer interacting with the antimicrobial peptide magainin 2 (Münster et al., 2002
). The reason for our somewhat lower estimate might be due to the mean-field character of the approach, which neglects lipid chain correlations.
An experimentally measurable quantity that provides rather direct information pertaining to lipid chain conformational properties is the orientational bond order parameter profile of the lipid tail, usually obtained via NMR measurements of selectively deuterated C-H bonds. The orientational order parameter of, say, the C-H bonds of carbon atom n along the chain is given by
 | (20) |
where
n is the angle between the Cn-H bond and the z axis. In a peptide-free membrane, where all lipid chains are equivalent, the averaging in Eq. 20 involves all possible conformations of any one of the equivalent lipid chains. In the perturbed membrane, the order parameter profiles depend on the chain origin, x. Since the experimentally measured order parameters profiles involve averaging over all lipid chains, we adopt a similar averaging for calculating the Sn'sthat is, the averaging involves all conformations of all lipids in both monolayers (as in Eq. 9). Note that a random distribution of bond orientations leads to Sn = 0, whereas for a fully stretched (all trans) chain oriented along the membrane normal, Sn = 1/2.
Fig. 5 shows Sn for peptide-containing membranes of various hydrophobic thicknesses, h, and peptide penetration depths, p. Recall that p = rP[1 + cos(
/2)] reflects the angular size,
, of the peptide's sector facing the aqueous phase. Larger values of p imply deeper penetration: p = rP = 6 Å corresponds to
=
(see Fig. 3), and for p > 12 Å the peptide (
= 0) is fully embedded within the hydrocarbon core. Note that for p = 12 Å, the peptide resides only within one (namely the external) monolayer, just tangent to the upper hydrocarbon-water interface, whereas for p = h/2 + rP, its center is at the bilayer's midplane. Fig. 5 compares Sn for different peptide penetration depth; p = 6 Å (solid curve with open circles), p = 14 Å (arrowheads), and p = 20 Å (stars), with corresponding thickness h = h* = 26 Å of the hydrocarbon core. For comparison, we also show the C-H bond order profile of the peptide-free membrane,
membrane (dashed curve). The peptide-induced change in the C-H bond order parameter
 | (21) |
is shown in the inset of Fig. 5: p = 6 Å increases the order of the chain (
Sn > 0), p = 14 Å leaves it unaffected (
Sn
0), and p = 20 Å disorders the lipid tails (
Sn < 0).
The peptide-dressed membrane can lower its free energy by adjusting the thickness, h, of its hydrocarbon core. Analyzing the possibility of membrane thickness variations, more specifically the peptide-induced membrane thinning, is one of the main goals of this work. Fig. 5 shows for p = 6 Å (curves with open circles and diamonds) how membrane thinning from h = 26 Å to h = 24 Å affects Sn and
Sn. Clearly, even a change in membrane thickness as small as 1 Å per monolayer thoroughly affects Sn. Particularly, for h = 24 Å, those chain segments in the middle of the chain exhibit less orientational order than in an unperturbed membrane, whereas the segments near the headgroups and near the chain ends are marginally affected. Qualitatively the same behaviorincluding a peptide-induced thinning of the chain region of roughly h* h
1Åhas been observed experimentally by Koenig et al. (1999)
, based on deuterium order parameter profiles for membrane-bound amphipathic peptide fragments of the envelope protein of human immunodeficiency virus Type I (HIV-1). Comparable results have also been obtained in a recent molecular dynamics simulation of two antimicrobial peptides in the presence of a lipid bilayer, (Shepherd et al., 2003
). Membrane thickness and chain order parameters are seen to decrease as the peptide penetrates into the membrane. The order parameter profiles plotted for the last 10 ns (where the peptide already penetrates the hydrophobic core of the membrane) are in good qualitative and quantitative agreement with our thermodynamic calculations.
The C-H bond order parameters, shown in Fig. 5 represent averages over all lipids within the membrane. That is, all spatial information is averaged out. Yet, our theoretical approach also allows us to compute the order parameters for lipids that reside at specific x positions in either the external or internal monolayer. In this case, the averaging in Eq. 20 is carried out as introduced in Eq. 8 for either the external or internal monolayer.
Fig. 6 shows Sn for those lipids that are displayed in Fig. 3 (from Fig. 3, we recall p = 6 Å and h = h* = 26 Å). There are distinct differences between the chains in the external and internal monolayer. Those attached close to the peptide at the external monolayer exhibit nonmonotonic modulations of Sn compared to
: Chain segments near the headgroup are more ordered, and chain segments at the methyl end are less ordered compared to an unperturbed lipid tail (dashed curves in Figs. 5 and 6). The former is a manifestation of the rigidity of the peptide backbone, and the latter reflects the bending of the lipid tails needed to fill the space below the membrane-penetrating peptide face. On the other hand, lipids originating in the internal monolayer show a monotonic increase in Sn everywhere along the chain. The increase is most pronounced at x
0 and follows from the peptide-induced stretching of the chains as evidenced by Fig. 3 and
I(x) in Fig. 4.
Membrane thinning
Being fluid-like soft materials, lipid membranes are able to adjust their thickness, h, upon the insertion of rigid peptides into the hydrocarbon core. The degree of adjustment is determined by the minimum in free energy F(N, p, h) with respect to h, for any given peptide insertion depth, p, and lipid/peptide ratio, N. Recall that F consists of two contributions (see Eq. 4): the interfacial free energy Fi = Fi(N, p, h) and the chain conformational free energy Fc = Fc(N, p, h). The former, Fi = N
aL, depends on the average cross-sectional area per lipid chain aL = aL(N, p, h), which can be calculated as discussed in the Theory section. Because we focus on high peptide concentration, we continue to use N = 80 for the lipid/peptide ratio. In the upper panel of Fig. 7, we show aL as a function of p for different values of h (with 22 Å
h
30 Å). If the peptide does not enter into the hydrocarbon core of the membrane (that is, p
0) then aL = 2
/h. Upon entry, aL initially decreases and then increases, which reflects the cylinder-like shape of the peptide. For 2 rP
p
h, the peptide is fully inserted and
is constant and higher than for p = 0. Generally, larger h gives rise to smaller aL. Note also the symmetry aL(p) = aL(h + 2rP p).
The second quantity that enters into F is the conformational free energy of the lipid chains Fc(p, h). (Because N = 80 is fixed, we omit the argument N from Fc.) In the lower panel of Fig. 7, we display results of our numerical calculations for the average conformational free energy per lipid chain
 | (22) |
measured with respect to an unperturbed (peptide-free) membrane of thickness h = h* = 26 Å, as a function of p for different values of h. The definition of the reference energy,
implies
Fc(p = 0, h = h*)/N = 0. Note that the behavior of
Fc(p, h) is somewhat opposite to that of aL(p, h). Increasing the membrane thickness, h, induces the lipid chains to be more stretched on average; the corresponding loss of conformational freedom implies higher conformational free energy. In addition to that, upon entry of the peptide into the hydrocarbon core,
Fc(p) initially increases and then decreases. The maximal conformational perturbation of the lipid bilayer is found for p
rP, where half of the peptide body is inserted into the host membrane. This case involves a particularly drastic energy penalty for membranes of large thickness, h. No such increase in
Fc is found for fully inserted peptides (2rP
p
h) or for thin membranes. Already these considerations suggest that membrane thinning could be a mechanism to avoid the high conformational energy penalty associated with interfacially associated amphipathic peptides.
The two panels in Fig. 7 contain all relevant information to calculate the free energy per peptide of the membrane, F(p, h) = N
aL + Fc. As for Fc, we shall define an excess free energy through
 | (23) |
That is, we use as a reference state that of an unperturbed, peptide-free bilayer with corresponding free energy F0(h*) = F(p = 0, h = h*). The effective surface tension,
, is chosen such that the membrane thickness h = h* = 26 Å represents the equilibrium value of an unperturbed, peptide-free bilayer. In Fig. 8 (the curve marked by open circles), we demonstrate that this is the case for
= 0.08 kBT/Å2 (which is somewhat smaller than the oil-water interfacial tension of
0.12 kBT/Å2). With this value for
, we show in Fig. 8 the free energy per lipid chain,
F/N, as a function of h for a number of different peptide penetration depths, p. The optimal thickness shifts to smaller values for p = 6 Å (curve with diamonds), remains unaffected for p = 12 Å (curve with arrowheads), and becomes larger for p = 18 Å (curve with stars). The inset of Fig. 8 shows the equilibrium thickness, heq(p), as a function of peptide penetration depth, p, emphasizing the nonmonotonic behavior of heq(p). Note again that due to our choice of
, it is heq(p = 0) = h* = 26 Å.

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FIGURE 8 The excess free energy per lipid chain, F(p, h)/N (see Eq. 23) with = 0.08kBT/Å2, as a function of membrane thickness h for a peptide-free membrane ( ), for p = 6 Å ( ), for p = 12 Å ( ), and for p = 18 Å ( ). At any given peptide penetration depth, p, there is one particular membrane thickness, h = heq, for which F(p, h)/N adopts a minimum. The corresponding dependence, heq(p), is displayed in the inset. The solid line in the inset interpolates between the symbols, calculated at p = 0, 6, 12, and 18 Å. Note, our choice = 0.08kBT/Å2 ensures the thickness of a bare, peptide-free membrane to be heq(p = 0) = 26 Å. The lipid/peptide ratio is N = 80.
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The change in free energy upon membrane thinning is small if measured per lipid; for example, at p = 6 Å, we find
F(h = 26 Å)
F(h = 24 Å) = 0.063 NkBT (see Fig. 8). However, when measured per peptide (recall N = 80), we obtain 0.063 kBT x 80 = 5 kBT, which can be significant for the adsorption energetics of amphipathic peptides.
Binding energy of amphipathic peptides
Consider the transfer of a single amphipathic peptide from aqueous solution into a lipid membrane. The corresponding transfer free energy
 | (24) |
can be written as a sum of two principal contributions (White and Wimley, 1998
; Ben-Tal et al., 1996
). One is the desolvation free energy,
Fsol, which results from changes in both electrostatic interactions and (nonelectrostatic) interfacial energies between the amino acid side chains of the peptide and the environment. A second contribution,
Flip, expresses the peptide-induced perturbation of the lipid bilayer. Our approach in this study provides a molecular-level calculation of
Flip.
Let us discuss how
Flip depends on the peptide penetration depth, p. Because the membrane can optimize its thickness h = heq, we identify
 | (25) |
measured per peptide (of length D = 30 Å). The curve with diamonds of Fig. 9 shows the peptide-induced perturbation of the lipid bilayer,
Flip, measured per peptide, as a function of p, or, equivalently, as a function of the polar angle
(from the Theory section we recall the relation p = rP[1 + cos(
/2)]). For not too small p (Fig. 9 predicts p > 1 Å), we find the lipid membrane provides a contribution to the transfer free energy that increases with p (or, equivalently, decreases with
). That is, the perturbation induced by a peptide with polar angle
= 90° is larger than the perturbation induced by a peptide with polar angle
= 180°.

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FIGURE 9 Transfer free energy, Ftot, per peptide for P = 0 ( ), for P = 0.02 kBT/Å2 ( ), and for P = 0.08 kBT/Å2 ( ), plotted as a function of the angular size, , of the polar helix face (see Fig. 2). For = 90°, 180°, and 270°, we schematically picture the size of the polar face (shaded regions), indicating the corresponding peptide penetration into the membrane.
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A molecular-level calculation of the desolvation free energy,
Fsol, is outside the scope of this work. Still, we can very roughly estimate the p-dependence of
Fsol that arises from varying the angular size, 2
, of the hydrophobic face. To this end, we assume that the peptide is positively charged, with all charged residues distributed over the polar helix face (which is of angular size
). Upon entry into the membrane, charged residues start penetrating into the hydrocarbon core for p > rP[1 + cos(
/2)], and the electrostatic free energy becomes intolerably high. Let usas a crude approximationneglect all other electrostatic contributions that arise from interactions of the lipid headgroups with the peptide and from solvation effects of the peptide's backbone dipoles (for detailed accounts of the solvation free energies, see, for example, Kessel and Ben-Tal, 2002
). We thus assume that within the range 0
p
rP[1 + cos(
/2)], the electrostatic energy remains constant. The remaining (nonelectrostatic) interfacial energy between the peptide and the aqueous environment is proportional to the exposed contact area, Aexp = (2
)rPD, between the hydrophobic peptide face and the aqueous environment
 | (26) |
where
P is the corresponding surface tension. The magnitude of
P depends on the strength of the peptide's hydrophobicity. In Fig. 9, we plot
Ftot as a function of
for different values of
P (note that the curve with diamonds is derived for
P = 0 and thus corresponds to
Flip).
Fig. 9 suggests that for sufficiently small
P, namely, when the lipid perturbation dominates the interaction, the transfer free energy decreases with
(or increases with the penetration depth of the peptide, p). In fact, this finding is in line with the results of a recent experiment that was designed to investigate the influence of the polar angle on peptide adsorption (Wieprecht et al., 1997
). The experimentally used model peptides all had similar structural properties (overall charge, hydrophobicity, and hydrophobic moment); they differed in the angle,
, subtended by the positively charged (and thus polar) helix face. It was found that peptide adsorption increases with
. Wieprecht et al. (1997)
explained this result by the different interaction strengths between the hydrophobic faces of the different peptides and the aqueous environment. Indeed, different hydrophobicities of the involved amino acids are supposed to affect
P. Our complementary explanation derives from the lipid perturbation, induced by amphipathic peptides that penetrate into the hydrocarbon core of the lipid host. The corresponding free energy penalty,
Flip, increases with the penetration depth, p, of the peptide. Depending on the strength of the desolvation free energy,
Fsol, even the total transfer free energy,
Ftot, may increase with p and thus cause stronger membrane binding for peptides that penetrate less deeply into the membrane.
Hydrophobic peptides
For
= 0, the peptide is completely hydrophobic, and the membrane penetration depth is 2rP < p < h. In this case, Fig. 8 predicts a thickening of the membrane rather than thinning (as for P < 2rp). The increase in h is a direct consequence of the additional volume VP occupied by the peptide within the membrane interior, without affecting the interfacial area A = AL. The lipid perturbation free energy associated with fully inserting the hydrophobic peptide into the hydrocarbon core is shown by the curve with diamonds for
= 0 in Fig. 9 (which is derived for
P = 0 and thus
Ftot =
F). Its amount
F(p = 2rP)
40kBT refers to the lipid's conformational free energy cost of inserting the peptide in horizontal orientation fully into the bilayer, measured relative to the unperturbed bilayer. Note, however, because the peptide is entirely hydrophobic, there is no longer a driving force to keep the peptide in horizontal orientation. Alternatively, it may adopt a vertical, transmembrane orientation to minimize the perturbation of the lipid bilayer. A transmembrane orientation may be particularly favorable if the length, D, of the peptide roughly matches the thickness, h, of the host membrane.
Let us estimate whether transmembrane orientation is more favorable than horizontal orientation. Assume that the condition h
D applies. From previous calculations of the perturbation free energy of rigid (and sufficiently large) transmembrane inclusions (Fattal and Ben-Shaul, 1993
; May and Ben-Shaul, 2000
), we recall a value of
0.3 0.4 kBT/1 Å length of the inclusion circumference. For a cylindrical rod of radius rP = 6 Å in transmembrane orientation, this amounts to
F = 11 15 kBT, which is much lower than the value for horizontal insertion. Even a certain amount of mismatch between D and h will easily be tolerated. Hence, our results suggest a strong preference of completely hydrophobic peptides for transmembrane orientation due to the generally large lipid perturbation free energy for horizontal insertion.
Recently, a completely hydrophobic "inert" model peptide, consisting of the helix-promoting leucine and alanine, was synthesized, and its interaction with lipid membranes was analyzed by Yano et al. (2002)
. Most remarkably, despite the lack of polar "stabilizing" residues at the ends, the peptide adopted a stable transmembrane orientation. Clearly, our calculations in this study suggest that the lipid bilayer provides a sufficiently large energetic incentive to stabilize the transmembrane orientation of hydrophobic
-helices.
Peptide concentration effects
So far, all results were derived for a fixed lipid/peptide ratio of N = 80. We now investigate the membrane properties as a function of N, which is an experimentally controllable parameter. To this end, we focus on peptides with angular size
=
of the polar part. This leads to a peptide penetration depth of p = rP = 6 Å. We recall from Fig. 7 that this choice implies a particularly large conformational free energy
Fc.
According to the numerical scheme described in the Theory section, we calculate the lipid perturbation free energy, Fc, for different peptide-peptide distances, L. For simplicity, we continue to assume the same geometry of the unit cell as introduced in the Theory section. That is, the peptides form long, orientationally ordered arrays so that the membrane properties are invariant along the y direction (see Fig. 1), and the lipid/peptide ratio N relates to L through (see Eqs. 1 and 2)
 | (27) |
Note that Eq. 27 is not valid for
; we thus exclude the limit of small peptide concentrations from our discussion.
In Fig. 10 we show the excess free energy per peptide,
F, as a function of 1/L for different membrane thicknesses, h. Note that Fig. 10 focuses on the range 20 < L/Å < 100. For
Å (which corresponds roughly to N = 20), the peptide-peptide distance falls below the lateral extension of individual (double chained) lipids. Hence, at such small interpeptide separations, our continuum-like description of the lipids along the x axis must fail.

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FIGURE 10 Excess free energy, F, per peptide rod, as a function of 1/L for h = 18 Å ( ), h = 20 Å ( ), h = 22 Å ( ), h = 24 Å (*), and h = 26 Å ( ). The broken line denotes the minimal value of F, calculated for optimal thickness, h = heq(1/L). The corresponding values for the optimal thickness, heq, are shown in the inset as a function of peptide/lipid ratio, 1/N (solid line). The relation between N and L is given by Eq. 27. The broken line in the inset shows the prediction for h = heq(1/N) according to Eq. 28 with aL = 31.2 Å2 and aP = 360 Å2. All results are derived for a peptide penetration depth of p = rP = 6 Å.
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Because of the reference state, only the curve corresponding to h = h* = 26 Å in Fig. 10 approaches a finite value in the low peptide concentration limit where
All other curves, derived for h < h*, exhibit the limiting behavior
which is a consequence of our assumption that the membrane thickness, h, is spatially constant everywhere. Yet, more interesting than the dilute limit is the intermediate region where L is on the order of D. Here, Fig. 10 clearly shows that membrane thinning lowers the peptide-induced free energy penalty of the membrane. The magnitude of the decrease in h depends on L. For each L there is a thickness heq(L) that minimizes
F. These values are displayed in Fig. 10 by the broken line. The broken line thus corresponds to the minimal excess free energy per peptide,
F, with the optimization of the membrane thickness taken into account. The inset (solid line) shows the corresponding optimal thickness, heq, as a function of 1/N, where the relation between L and N is calculated according to Eq. 27. The dependence heq(1/N) shows a linear relation between membrane thickness and peptide/lipid ratio, 1/N.
Indeed, a linear decrease of membrane thickness with increasing peptide concentration has been measured experimentally (He et al., 1996
; Ludtke et al., 1995![Go]()