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1 < \chapter{\label{chap:md}Dipolar ordering in the ripple phases of
2 < molecular-scale models of lipid membranes}
1 > \chapter{\label{chap:md}DIPOLAR ORDERING IN THE RIPPLE PHASES OF
2 > MOLECULAR-SCALE MODELS OF LIPID MEMBRANES}
3  
4   \section{Introduction}
5   \label{mdsec:Int}
6 Fully hydrated lipids will aggregate spontaneously to form bilayers
7 which exhibit a variety of phases depending on their temperatures and
8 compositions. Among these phases, a periodic rippled phase
9 ($P_{\beta'}$) appears as an intermediate phase between the gel
10 ($L_\beta$) and fluid ($L_{\alpha}$) phases for relatively pure
11 phosphatidylcholine (PC) bilayers.  The ripple phase has attracted
12 substantial experimental interest over the past 30 years. Most
13 structural information of the ripple phase has been obtained by the
14 X-ray diffraction~\cite{Sun96,Katsaras00} and freeze-fracture electron
15 microscopy (FFEM).~\cite{Copeland80,Meyer96} Recently, Kaasgaard {\it
16 et al.} used atomic force microscopy (AFM) to observe ripple phase
17 morphology in bilayers supported on mica.~\cite{Kaasgaard03} The
18 experimental results provide strong support for a 2-dimensional
19 hexagonal packing lattice of the lipid molecules within the ripple
20 phase.  This is a notable change from the observed lipid packing
21 within the gel phase,~\cite{Cevc87} although Tenchov {\it et al.} have
22 recently observed near-hexagonal packing in some phosphatidylcholine
23 (PC) gel phases.\cite{Tenchov2001} The X-ray diffraction work by
24 Katsaras {\it et al.} showed that a rich phase diagram exhibiting both
25 {\it asymmetric} and {\it symmetric} ripples is possible for lecithin
26 bilayers.\cite{Katsaras00}
6  
7   A number of theoretical models have been presented to explain the
8   formation of the ripple phase. Marder {\it et al.} used a
# Line 33 | Line 12 | predict the formation of a ripple-like phase.  Their m
12   concave portions of the membrane correspond to more solid-like
13   regions.  Carlson and Sethna used a packing-competition model (in
14   which head groups and chains have competing packing energetics) to
15 < predict the formation of a ripple-like phase.  Their model predicted
16 < that the high-curvature portions have lower-chain packing and
17 < correspond to more fluid-like regions.  Goldstein and Leibler used a
18 < mean-field approach with a planar model for {\em inter-lamellar}
19 < interactions to predict rippling in multilamellar
15 > predict the formation of a ripple-like phase~\cite{Carlson87}.  Their
16 > model predicted that the high-curvature portions have lower-chain
17 > packing and correspond to more fluid-like regions.  Goldstein and
18 > Leibler used a mean-field approach with a planar model for {\em
19 > inter-lamellar} interactions to predict rippling in multilamellar
20   phases.~\cite{Goldstein88} McCullough and Scott proposed that the {\em
21   anisotropy of the nearest-neighbor interactions} coupled to
22   hydrophobic constraining forces which restrict height differences
# Line 60 | Line 39 | longer ``chains''.
39   described the formation of symmetric ripple-like structures using a
40   coarse grained solvent-head-tail bead model.\cite{Kranenburg2005}
41   Their lipids consisted of a short chain of head beads tied to the two
42 < longer ``chains''.
42 > longer ``chains''.
43  
44   In contrast, few large-scale molecular modeling studies have been
45   done due to the large size of the resulting structures and the time
# Line 93 | Line 72 | In a recent paper, we presented a simple ``web of dipo
72   driving force for ripple formation, questions about the ordering of
73   the head groups in ripple phase have not been settled.
74  
75 < In a recent paper, we presented a simple ``web of dipoles'' spin
75 > In Ch.~\ref{chap:mc}, we presented a simple ``web of dipoles'' spin
76   lattice model which provides some physical insight into relationship
77 < between dipolar ordering and membrane buckling.\cite{Sun2007} We found
78 < that dipolar elastic membranes can spontaneously buckle, forming
77 > between dipolar ordering and membrane buckling.\cite{sun:031602} We
78 > found that dipolar elastic membranes can spontaneously buckle, forming
79   ripple-like topologies.  The driving force for the buckling of dipolar
80   elastic membranes is the anti-ferroelectric ordering of the dipoles.
81   This was evident in the ordering of the dipole director axis
# Line 105 | Line 84 | In this paper, we construct a somewhat more realistic
84   work on the spontaneous formation of dipolar peptide chains into
85   curved nano-structures.\cite{Tsonchev04,Tsonchev04II}
86  
87 < In this paper, we construct a somewhat more realistic molecular-scale
87 > In this chapter, we construct a somewhat more realistic molecular-scale
88   lipid model than our previous ``web of dipoles'' and use molecular
89   dynamics simulations to elucidate the role of the head group dipoles
90   in the formation and morphology of the ripple phase.  We describe our
# Line 156 | Line 135 | molecules.\cite{Gay81} It can be thought of as a modif
135   modeling large length-scale properties of lipid
136   bilayers.\cite{Ayton01} In its original form, the Gay-Berne potential
137   was a single site model for the interactions of rigid ellipsoidal
138 < molecules.\cite{Gay81} It can be thought of as a modification of the
138 > molecules.\cite{Gay1981} It can be thought of as a modification of the
139   Gaussian overlap model originally described by Berne and
140   Pechukas.\cite{Berne72} The potential is constructed in the familiar
141   form of the Lennard-Jones function using orientation-dependent
142   $\sigma$ and $\epsilon$ parameters,
143 < \begin{equation*}
143 > \begin{multline}
144   V_{ij}({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat
145   r}_{ij}}) = 4\epsilon ({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
146 < {\mathbf{\hat r}_{ij}})\left[\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i},
146 > {\mathbf{\hat r}_{ij}})\left[ \left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i},
147   {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^{12}
148 < -\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
149 < {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^6\right]
148 > \right. \\
149 > \left. - \left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i},
150 > {\mathbf{\hat u}_j}, {\mathbf{\hat
151 > r}_{ij}})+\sigma_0}\right)^6\right]
152   \label{mdeq:gb}
153 < \end{equation*}
153 > \end{multline}
154  
155   The range $(\sigma({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf
156   \hat{r}}_{ij}))$, and strength $(\epsilon({\bf \hat{u}}_{i},{\bf
# Line 190 | Line 171 | calculate the range function,
171   where $l$ and $d$ describe the length and width of each uniaxial
172   ellipsoid.  These shape anisotropy parameters can then be used to
173   calculate the range function,
174 < \begin{equation*}
175 < \sigma({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf \hat{r}}_{ij}) = \sigma_{0}
176 < \left[ 1- \left\{ \frac{ \chi \alpha^2 ({\bf \hat{u}}_i \cdot {\bf
174 > \begin{multline}
175 > \sigma({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf \hat{r}}_{ij}) = \\
176 > \sigma_0 \left[ 1 - \left\{ \frac{ \chi \alpha^2 ({\bf \hat{u}}_i \cdot {\bf
177   \hat{r}}_{ij} ) + \chi \alpha^{-2} ({\bf \hat{u}}_j \cdot {\bf
178   \hat{r}}_{ij} ) - 2 \chi^2 ({\bf \hat{u}}_i \cdot {\bf
179   \hat{r}}_{ij} )({\bf \hat{u}}_j \cdot {\bf
180   \hat{r}}_{ij} ) ({\bf \hat{u}}_i \cdot {\bf \hat{u}}_j)}{1 - \chi^2
181   \left({\bf \hat{u}}_i \cdot {\bf \hat{u}}_j\right)^2} \right\}
182   \right]^{-1/2}
183 < \end{equation*}
183 > \end{multline}
184  
185   Gay-Berne ellipsoids also have an energy scaling parameter,
186   $\epsilon^s$, which describes the well depth for two identical
# Line 217 | Line 198 | The form of the strength function is somewhat complica
198   \alpha'^2 & = & \left[1 + (\epsilon^r)^{1/\mu}\right]^{-1}
199   \end{eqnarray*}
200   The form of the strength function is somewhat complicated,
201 < \begin {eqnarray*}
201 > \begin{eqnarray*}
202   \epsilon({\bf \hat{u}}_{i}, {\bf \hat{u}}_{j},{\bf \hat{r}}_{ij}) & = &
203   \epsilon_{0}  \epsilon_{1}^{\nu}({\bf \hat{u}}_{i}.{\bf \hat{u}}_{j})
204   \epsilon_{2}^{\mu}({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf
205   \hat{r}}_{ij}) \\ \\
206   \epsilon_{1}({\bf \hat{u}}_{i},{\bf \hat{u}}_{j}) & = &
207   \left[1-\chi^{2}({\bf \hat{u}}_{i}.{\bf
208 < \hat{u}}_{j})^{2}\right]^{-1/2} \\ \\
209 < \epsilon_{2}({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf \hat{r}}_{ij}) &
210 < = &
211 < 1 - \left\{ \frac{ \chi' \alpha'^2 ({\bf \hat{u}}_i \cdot {\bf
208 > \hat{u}}_{j})^{2}\right]^{-1/2}
209 > \end{eqnarray*}
210 > \begin{multline*}
211 > \epsilon_{2}({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf \hat{r}}_{ij})
212 > =  \\
213 > 1 - \left\{ \frac{ \chi' \alpha'^2 ({\bf \hat{u}}_i \cdot {\bf
214   \hat{r}}_{ij} ) + \chi' \alpha'^{-2} ({\bf \hat{u}}_j \cdot {\bf
215   \hat{r}}_{ij} ) - 2 \chi'^2 ({\bf \hat{u}}_i \cdot {\bf
216   \hat{r}}_{ij} )({\bf \hat{u}}_j \cdot {\bf
217   \hat{r}}_{ij} ) ({\bf \hat{u}}_i \cdot {\bf \hat{u}}_j)}{1 - \chi'^2
218   \left({\bf \hat{u}}_i \cdot {\bf \hat{u}}_j\right)^2} \right\},
219 < \end {eqnarray*}
219 > \end{multline*}
220   although many of the quantities and derivatives are identical with
221   those obtained for the range parameter. Ref. \citen{Luckhurst90}
222   has a particularly good explanation of the choice of the Gay-Berne
# Line 270 | Line 253 | zwitterionic head groups, we have placed fixed dipole
253   \end{figure}
254  
255   To take into account the permanent dipolar interactions of the
256 < zwitterionic head groups, we have placed fixed dipole moments $\mu_{i}$ at
257 < one end of the Gay-Berne particles.  The dipoles are oriented at an
258 < angle $\theta = \pi / 2$ relative to the major axis.  These dipoles
259 < are protected by a head ``bead'' with a range parameter ($\sigma_h$) which we have
260 < varied between $1.20 d$ and $1.41 d$.  The head groups interact with
261 < each other using a combination of Lennard-Jones,
256 > zwitterionic head groups, we have placed fixed dipole moments
257 > $\mu_{i}$ at one end of the Gay-Berne particles.  The dipoles are
258 > oriented at an angle $\theta = \pi / 2$ relative to the major axis.
259 > These dipoles are protected by a head ``bead'' with a range parameter
260 > ($\sigma_h$) which we have varied between $1.20 d$ and $1.41 d$.  The
261 > head groups interact with each other using a combination of
262 > Lennard-Jones,
263   \begin{equation}
264   V_{ij}(r_{ij}) = 4\epsilon_h \left[\left(\frac{\sigma_h}{r_{ij}}\right)^{12} -
265   \left(\frac{\sigma_h}{r_{ij}}\right)^6\right],
# Line 324 | Line 308 | bilayers.\cite{Marrink04} The solvent bead is a single
308  
309   The solvent model in our simulations is similar to the one used by
310   Marrink {\it et al.}  in their coarse grained simulations of lipid
311 < bilayers.\cite{Marrink04} The solvent bead is a single site that
311 > bilayers.\cite{Marrink2004} The solvent bead is a single site that
312   represents four water molecules (m = 72 amu) and has comparable
313   density and diffusive behavior to liquid water.  However, since there
314   are no electrostatic sites on these beads, this solvent model cannot
315   replicate the dielectric properties of water.  Note that although we
316   are using larger cutoff and switching radii than Marrink {\it et al.},
317   our solvent density at 300 K remains at 0.944 g cm$^{-3}$, and the
318 < solvent diffuses at 0.43 $\AA^2 ps^{-1}$ (only twice as fast as liquid
318 > solvent diffuses at 0.43 \AA$^2 ps^{-1}$ (only twice as fast as liquid
319   water).
320  
321   \begin{table*}
# Line 402 | Line 386 | modeling program.\cite{Meineke05}
386   molecular dynamics runs was 25 fs.  No appreciable changes in phase
387   structure were noticed upon switching to a microcanonical ensemble.
388   All simulations were performed using the {\sc oopse} molecular
389 < modeling program.\cite{Meineke05}
389 > modeling program.\cite{Meineke2005}
390  
391   A switching function was applied to all potentials to smoothly turn
392   off the interactions between a range of $22$ and $25$ \AA.  The
# Line 475 | Line 459 | lipid bilayers.  Using a value of $l = 13.8$ \AA for t
459  
460   It is reasonable to ask how well the parameters we used can produce
461   bilayer properties that match experimentally known values for real
462 < lipid bilayers.  Using a value of $l = 13.8$ \AA for the ellipsoidal
462 > lipid bilayers.  Using a value of $l = 13.8$ \AA~for the ellipsoidal
463   tails and the fixed ellipsoidal aspect ratio of 3, our values for the
464   area per lipid ($A$) and inter-layer spacing ($D_{HH}$) depend
465   entirely on the size of the head bead relative to the molecular body.
# Line 536 | Line 520 | The principal method for observing orientational order
520   different direction from the upper leaf.\label{mdfig:topView}}
521   \end{figure}
522  
523 < The principal method for observing orientational ordering in dipolar
524 < or liquid crystalline systems is the $P_2$ order parameter (defined
525 < as $1.5 \times \lambda_{max}$, where $\lambda_{max}$ is the largest
542 < eigenvalue of the matrix,
543 < \begin{equation}
544 < {\mathsf{S}} = \frac{1}{N} \sum_i \left(
545 < \begin{array}{ccc}
546 <        u^{x}_i u^{x}_i-\frac{1}{3} & u^{x}_i u^{y}_i & u^{x}_i u^{z}_i \\
547 <        u^{y}_i u^{x}_i  & u^{y}_i u^{y}_i -\frac{1}{3} & u^{y}_i u^{z}_i \\
548 <        u^{z}_i u^{x}_i & u^{z}_i u^{y}_i  & u^{z}_i u^{z}_i -\frac{1}{3}
549 < \end{array} \right).
550 < \label{mdeq:opmatrix}
551 < \end{equation}
552 < Here $u^{\alpha}_i$ is the $\alpha=x,y,z$ component of the unit vector
553 < for molecule $i$.  (Here, $\hat{\bf u}_i$ can refer either to the
523 > The orientational ordering in the system is observed by $P_2$ order
524 > parameter, which is calculated from Eq.~\ref{mceq:opmatrix}
525 > in Ch.~\ref{chap:mc}. Here, $\hat{\bf u}_i$ can refer either to the
526   principal axis of the molecular body or to the dipole on the head
527 < group of the molecule.)  $P_2$ will be $1.0$ for a perfectly-ordered
528 < system and near $0$ for a randomized system.  Note that this order
529 < parameter is {\em not} equal to the polarization of the system.  For
530 < example, the polarization of a perfect anti-ferroelectric arrangement
559 < of point dipoles is $0$, but $P_2$ for the same system is $1$.  The
560 < eigenvector of $\mathsf{S}$ corresponding to the largest eigenvalue is
561 < familiar as the director axis, which can be used to determine a
562 < privileged axis for an orientationally-ordered system.  Since the
563 < molecular bodies are perpendicular to the head group dipoles, it is
564 < possible for the director axes for the molecular bodies and the head
565 < groups to be completely decoupled from each other.
527 > group of the molecule. Since the molecular bodies are perpendicular to
528 > the head group dipoles, it is possible for the director axes for the
529 > molecular bodies and the head groups to be completely decoupled from
530 > each other.
531  
532   Figure \ref{mdfig:topView} shows snapshots of bird's-eye views of the
533   flat ($\sigma_h = 1.20 d$) and rippled ($\sigma_h = 1.35, 1.41 d$)
# Line 592 | Line 557 | elastic dipolar membranes.\cite{Sun2007}
557   arrangement of the dipoles is always observed in a direction
558   perpendicular to the wave vector for the surface corrugation.  This is
559   a similar finding to what we observed in our earlier work on the
560 < elastic dipolar membranes.\cite{Sun2007}
560 > elastic dipolar membranes.\cite{sun:031602}
561  
562   The $P_2$ order parameters (for both the molecular bodies and the head
563   group dipoles) have been calculated to quantify the ordering in these
# Line 731 | Line 696 | D = \lim_{t \rightarrow \infty} \frac{1}{6 t} \langle
696   We have computed translational diffusion constants for lipid molecules
697   from the mean-square displacement,
698   \begin{equation}
699 < D = \lim_{t \rightarrow \infty} \frac{1}{6 t} \langle {|\left({\bf r}_{i}(t) - {\bf r}_{i}(0) \right)|}^2 \rangle,
699 > D = \lim_{t \rightarrow \infty} \frac{1}{6 t} \langle {|\left({\bf
700 > r}_{i}(t) - {\bf r}_{i}(0) \right)|}^2 \rangle,
701 > \label{mdeq:msdisplacement}
702   \end{equation}
703   of the lipid bodies. Translational diffusion constants for the
704   different head-to-tail size ratios (all at 300 K) are shown in table

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