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1 %\documentclass[aps,pre,twocolumn,amssymb,showpacs,floatfix]{revtex4}
2 \documentclass[aps,pre,preprint,amssymb,showpacs]{revtex4}
3 \usepackage{graphicx}
4
5 \begin{document}
6 \renewcommand{\thefootnote}{\fnsymbol{footnote}}
7 \renewcommand{\theequation}{\arabic{section}.\arabic{equation}}
8
9 %\bibliographystyle{aps}
10
11 \title{Dipolar Ordering of the Ripple Phase in Lipid Membranes}
12 \author{Xiuquan Sun and J. Daniel Gezelter}
13 \email[E-mail:]{gezelter@nd.edu}
14 \affiliation{Department of Chemistry and Biochemistry,\\
15 University of Notre Dame, \\
16 Notre Dame, Indiana 46556}
17
18 \date{\today}
19
20 \begin{abstract}
21
22 \end{abstract}
23
24 \pacs{}
25 \maketitle
26
27 \section{Introduction}
28 \label{sec:Int}
29
30 As one of the most important components in the formation of the
31 biomembrane, lipid molecules attracted numerous studies in the past
32 several decades. Due to their amphiphilic structure, when dispersed in
33 water, lipids can self-assemble to construct a bilayer structure. The
34 phase behavior of lipid membrane is well understood. The gel-fluid
35 phase transition is known as main phase transition. However, there is
36 an intermediate phase between gel and fluid phase for some lipid (like
37 phosphatidycholine (PC)) membranes. This intermediate phase
38 distinguish itself from other phases by its corrugated membrane
39 surface, therefore this phase is termed ``ripple'' ($P_{\beta '}$)
40 phase. The phase transition between gel-fluid and ripple phase is
41 called pretransition. Since the pretransition usually occurs in room
42 temperature, there might be some important biofuntions carried by the
43 ripple phase for the living organism.
44
45 The ripple phase is observed experimentally by x-ray diffraction
46 ~\cite{Sun96,Katsaras00}, freeze-fracture electron microscopy
47 (FFEM)~\cite{Copeland80,Meyer96}, and atomic force microscopy (AFM)
48 recently~\cite{Kaasgaard03}. The experimental studies suggest two
49 kinds of ripple structures: asymmetric (sawtooth like) and symmetric
50 (sinusoidal like) ripple phases. Substantial number of theoretical
51 explaination applied on the formation of the ripple
52 phases~\cite{Marder84,Carlson87,Goldstein88,McCullough90,Lubensky93,Misbah98,Heimburg00,Kubica02,Bannerjee02}.
53 In contrast, few molecular modelling have been done due to the large
54 size of the resulting structures and the time required for the phases
55 of interest to develop. One of the interesting molecular simulations
56 was carried out by De Vries and Marrink {\it et
57 al.}~\cite{deVries05}. According to their dynamic simulation results,
58 the ripple consists of two domains, one is gel bilayer, and in the
59 other domain, the upper and lower leaves of the bilayer are fully
60 interdigitated. The mechanism of the formation of the ripple phase in
61 their work suggests the theory that the packing competition between
62 head group and tail of lipid molecules is the driving force for the
63 formation of the ripple phase~\cite{Carlson87}. Recently, the ripple
64 phase is also studied by using monte carlo simulation~\cite{Lenz07},
65 the ripple structure is similar to the results of Marrink except that
66 the connection of the upper and lower leaves of the bilayer is an
67 interdigitated line instead of the fully interdigitated
68 domain. Furthermore, the symmetric ripple phase was also observed in
69 their work. They claimed the mismatch between the size of the head
70 group and tail of the lipid molecules is the driving force for the
71 formation of the ripple phase.
72
73 Although the organizations of the tails of lipid molecules are
74 addressed by these molecular simulations, the ordering of the head
75 group in ripple phase is still not settlement. We developed a simple
76 ``web of dipoles'' spin lattice model which provides some physical
77 insight in our previous studies~\cite{Sun2007}, we found the dipoles
78 on head groups of the lipid molecules are ordered in an
79 antiferroelectric state. The similiar phenomenon is also observed by
80 Tsonchev {\it et al.} when they studied the formation of the
81 nanotube\cite{Tsonchev04}.
82
83 In this paper, we made a more realistic coarse-grained lipid model to
84 understand the primary driving force for membrane corrugation and to
85 elucidate the organization of the anisotropic interacting head group
86 via molecular dynamics simulation. We will talk about our model and
87 methodology in section \ref{sec:method}, and details of the simulation
88 in section \ref{sec:experiment}. The results are shown in section
89 \ref{sec:results}. At last, we will discuss the results in section
90 \ref{sec:discussion}.
91
92 \section{Methodology and Model}
93 \label{sec:method}
94
95 Our idea for developing a simple and reasonable lipid model to study
96 the ripple phase of lipid bilayers is based on two facts: one is that
97 the most essential feature of lipid molecules is their amphiphilic
98 structure with polar head groups and non-polar tails. Another fact is
99 that dominant numbers of lipid molecules are very rigid in ripple
100 phase which allows the details of the lipid molecules neglectable. The
101 lipid model is shown in Figure \ref{fig:lipidMM}. Figure
102 \ref{fig:lipidMM}a shows the molecular strucure of a DPPC molecule. The
103 hydrophilic character of the head group is the effect of the strong
104 dipole composed by a positive charge sitting on the nitrogen and a
105 negative charge on the phosphate. The hydrophobic tail consists of
106 fatty acid chains. In our model shown in Figure \ref{fig:lipidMM}b,
107 lipid molecules are represented by rigid bodies made of one head
108 sphere with a point dipole sitting on it and one ellipsoid tail, the
109 direction of the dipole is fixed to be perpendicular to the tail. The
110 breadth and length of tail are $\sigma_0$, $3\sigma_0$. The diameter
111 of heads varies from $1.20\sigma_0$ to $1.41\sigma_0$. The model of
112 the solvent in our simulations is inspired by the idea of ``DPD''
113 water. Every four water molecules are reprsented by one sphere.
114
115 \begin{figure}[htb]
116 \centering
117 \includegraphics[width=\linewidth]{lipidModels}
118 \caption{Three different representations of DPPC lipid molecules,
119 including the chemical structure, an atomistic model, and the
120 head-body ellipsoidal coarse-grained model used in this
121 work.\label{fig:lipidModels}}
122 \end{figure}
123
124 Spheres interact each other with Lennard-Jones potential
125 \begin{eqnarray*}
126 V_{ij} = 4\epsilon \left[\left(\frac{\sigma_0}{r_{ij}}\right)^{12} -
127 \left(\frac{\sigma_0}{r_{ij}}\right)^6\right]
128 \end{eqnarray*}
129 here, $\sigma_0$ is diameter of the spherical particle. $r_{ij}$ is
130 the distance between two spheres. $\epsilon$ is the well depth.
131 Dipoles interact each other with typical dipole potential
132 \begin{eqnarray*}
133 V_{ij} = \frac{|\mu|^2}{4 \pi \epsilon_0 r_{ij}^3}
134 \left[ \hat{\bf u}_i \cdot \hat{\bf u}_j - 3 (\hat{\bf u}_i \cdot
135 \hat{\bf r}_{ij})(\hat{\bf u}_j \cdot \hat{\bf r}_{ij}) \right]
136 \end{eqnarray*}
137 In this potential, $\mathbf{\hat u}_i$ is the unit vector pointing
138 along dipole $i$ and $\mathbf{\hat r}_{ij}$ is the unit vector
139 pointing along the inter-dipole vector $\mathbf{r}_{ij}$. Identical
140 ellipsoids interact each other with Gay-Berne potential.
141 \begin{eqnarray*}
142 V_{ij}({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat
143 r}_{ij}}) = 4\epsilon ({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
144 {\mathbf{\hat r}_{ij}})\left[\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i},
145 {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^{12}
146 -\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
147 {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^6\right]
148 \end{eqnarray*}
149 where $\sigma_0 = \sqrt 2\sigma_s$, and orietation-dependent range
150 parameter is given by
151 \begin{eqnarray*}
152 \sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
153 {\sigma_{0}} \left(1-\frac{1}{2}\chi\left[\frac{({\mathbf{\hat r}_{ij}}
154 \cdot {\mathbf{\hat u}_i} + {\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
155 u}_j})^2}{1+\chi({\mathbf{\hat u}_i} \cdot {\mathbf{\hat u}_j})} +
156 \frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat u}_i} - {\mathbf{\hat r}_{ij}}
157 \cdot {\mathbf{\hat u}_j})^2}{1-\chi({\mathbf{\hat u}_i} \cdot
158 {\mathbf{\hat u}_j})} \right] \right)^{-\frac{1}{2}}
159 \end{eqnarray*}
160 and the strength anisotropy function is,
161 \begin{eqnarray*}
162 \epsilon ({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
163 {\epsilon^\nu}({\mathbf{\hat u}_i}, {\mathbf{\hat
164 u}_j}){\epsilon'^\mu}({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
165 {\mathbf{\hat r}_{ij}})
166 \end{eqnarray*}
167 with $\nu$ and $\mu$ being adjustable exponent, and
168 $\epsilon({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j})$,
169 $\epsilon'({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat
170 r}_{ij}})$ defined as
171 \begin{eqnarray*}
172 \epsilon({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}) =
173 \epsilon_0\left[1-\chi^2({\mathbf{\hat u}_i} \cdot {\mathbf{\hat
174 u}_j})^2\right]^{-\frac{1}{2}}
175 \end{eqnarray*}
176 \begin{eqnarray*}
177 \epsilon'({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
178 1-\frac{1}{2}\chi'\left[\frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
179 u}_i} + {\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
180 u}_j})^2}{1+\chi'({\mathbf{\hat u}_i} \cdot {\mathbf{\hat u}_j})} +
181 \frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat u}_i} - {\mathbf{\hat r}_{ij}}
182 \cdot {\mathbf{\hat u}_j})^2}{1-\chi'({\mathbf{\hat u}_i} \cdot
183 {\mathbf{\hat u}_j})} \right]
184 \end{eqnarray*}
185 the diameter dependent parameter $\chi$ is given by
186 \begin{eqnarray*}
187 \chi = \frac{({\sigma_s}^2 -
188 {\sigma_e}^2)}{({\sigma_s}^2 + {\sigma_e}^2)}
189 \end{eqnarray*}
190 and the well depth dependent parameter $\chi'$ is given by
191 \begin{eqnarray*}
192 \chi' = \frac{({\epsilon_s}^{\frac{1}{\mu}} -
193 {\epsilon_e}^{\frac{1}{\mu}})}{({\epsilon_s}^{\frac{1}{\mu}} +
194 {\epsilon_e}^{\frac{1}{\mu}})}
195 \end{eqnarray*}
196 $\sigma_s$ is the side-by-side width, and $\sigma_e$ is the end-to-end
197 length. $\epsilon_s$ is the side-by-side well depth, and $\epsilon_e$
198 is the end-to-end well depth. For the interaction between
199 nonequivalent uniaxial ellipsoids (in this case, between spheres and
200 ellipsoids), the range parameter is generalized as\cite{Cleaver96}
201 \begin{eqnarray*}
202 \sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
203 {\sigma_{0}} \left(1-\frac{1}{2}\chi\left[\frac{(\alpha{\mathbf{\hat r}_{ij}}
204 \cdot {\mathbf{\hat u}_i} + \alpha^{-1}{\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
205 u}_j})^2}{1+\chi({\mathbf{\hat u}_i} \cdot {\mathbf{\hat u}_j})} +
206 \frac{(\alpha{\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat u}_i} - \alpha^{-1}{\mathbf{\hat r}_{ij}}
207 \cdot {\mathbf{\hat u}_j})^2}{1-\chi({\mathbf{\hat u}_i} \cdot
208 {\mathbf{\hat u}_j})} \right] \right)^{-\frac{1}{2}}
209 \end{eqnarray*}
210 where $\alpha$ is given by
211 \begin{eqnarray*}
212 \alpha^2 =
213 \left[\frac{\left({\sigma_e}_i^2-{\sigma_s}_i^2\right)\left({\sigma_e}_j^2+{\sigma_s}_i^2\right)}{\left({\sigma_e}_j^2-{\sigma_s}_j^2\right)\left({\sigma_e}_i^2+{\sigma_s}_j^2\right)}
214 \right]^{\frac{1}{2}}
215 \end{eqnarray*}
216 the strength parameter is adjusted by the suggestion of
217 \cite{Cleaver96}. All potentials are truncated at $25$ \AA\ and
218 shifted at $22$ \AA.
219
220 \begin{figure}[htb]
221 \centering
222 \includegraphics[height=4in]{lipidModel}
223 \caption{The parameters defining the behavior of the lipid
224 models. $\sigma_h / \sigma_0$ is the ratio of the head group to body
225 diameter. Molecular bodies all had an aspect ratio of 3.0. The
226 dipolar strength (and the temperature and pressure) wer the only other
227 parameters that wer varied systematically.\label{fig:lipidModel}}
228 \end{figure}
229
230 \section{Experiment}
231 \label{sec:experiment}
232
233 To make the simulations less expensive and to observe long-time
234 behavior of the lipid membranes, all simulations were started from two
235 separate monolayers in the vaccum with $x-y$ anisotropic pressure
236 coupling. The length of $z$ axis of the simulations was fixed and a
237 constant surface tension was applied to enable real fluctuations of
238 the bilayer. Periodic boundaries were used. There were $480-720$ lipid
239 molecules in the simulations depending on the size of the head
240 beads. All the simulations were equlibrated for $100$ ns at $300$
241 K. The resulting structures were solvated in water ($6$ DPD
242 water/lipid molecule). These configurations were relaxed for another
243 $30$ ns relaxation. All simulations with water were carried out at
244 constant pressure ($P=1$ atm) by $3$D anisotropic coupling, and
245 constant surface tension ($\gamma=0.015$). Given the absence of fast
246 degrees of freedom in this model, a timestep of $50$ fs was
247 utilized. Simulations were performed by using OOPSE
248 package\cite{Meineke05}.
249
250 \section{Results and Analysis}
251 \label{sec:results}
252
253 Snapshots in Figure \ref{fig:phaseCartoon} show that the membrane is
254 more corrugated increasing size of the head groups. The surface is
255 nearly flat when $\sigma_h=1.20\sigma_0$. With
256 $\sigma_h=1.28\sigma_0$, although the surface is still flat, the
257 bilayer starts to splay inward; the upper leaf of the bilayer is
258 connected to the lower leaf with an interdigitated line defect. Two
259 periodicities with $100$ \AA\ width were observed in the
260 simulation. This structure is very similiar to the structure observed
261 by de Vries and Lenz {\it et al.}. The same basic structure is also
262 observed when $\sigma_h=1.41\sigma_0$, but the wavelength of the
263 surface corrugations depends sensitively on the size of the ``head''
264 beads. From the undulation spectrum, the corrugation is clearly
265 non-thermal.
266 \begin{figure}[htb]
267 \centering
268 \includegraphics[width=\linewidth]{phaseCartoon}
269 \caption{A sketch to discribe the structure of the phases observed in
270 our simulations.\label{fig:phaseCartoon}}
271 \end{figure}
272
273 When $\sigma_h=1.35\sigma_0$, we observed another corrugated surface
274 morphology. This structure is different from the asymmetric rippled
275 surface; there is no interdigitation between the upper and lower
276 leaves of the bilayer. Each leaf of the bilayer is broken into several
277 hemicylinderical sections, and opposite leaves are fitted together
278 much like roof tiles. Unlike the surface in which the upper
279 hemicylinder is always interdigitated on the leading or trailing edge
280 of lower hemicylinder, the symmetric ripple has no prefered direction.
281 The corresponding cartoons are shown in Figure
282 \ref{fig:phaseCartoon} for elucidation of the detailed structures of
283 different phases. Figure \ref{fig:phaseCartoon} (a) is the flat phase,
284 (b) is the asymmetric ripple phase corresponding to the lipid
285 organization when $\sigma_h=1.28\sigma_0$ and $\sigma_h=1.41\sigma_0$,
286 and (c) is the symmetric ripple phase observed when
287 $\sigma_h=1.35\sigma_0$. In symmetric ripple phase, the bilayer is
288 continuous everywhere on the whole membrane, however, in asymmetric
289 ripple phase, the bilayer is intermittent domains connected by thin
290 interdigitated monolayer which consists of upper and lower leaves of
291 the bilayer.
292 \begin{table*}
293 \begin{minipage}{\linewidth}
294 \begin{center}
295 \caption{}
296 \begin{tabular}{lccc}
297 \hline
298 $\sigma_h/\sigma_0$ & type of phase & $\lambda/\sigma_0$ & $A/\sigma_0$\\
299 \hline
300 1.20 & flat & N/A & N/A \\
301 1.28 & asymmetric flat & 21.7 & N/A \\
302 1.35 & symmetric ripple & 17.2 & 2.2 \\
303 1.41 & asymmetric ripple & 15.4 & 1.5 \\
304 \end{tabular}
305 \label{tab:property}
306 \end{center}
307 \end{minipage}
308 \end{table*}
309
310 The membrane structures and the reduced wavelength $\lambda/\sigma_0$,
311 reduced amplitude $A/\sigma_0$ of the ripples are summerized in Table
312 \ref{tab:property}. The wavelength range is $15~21$ and the amplitude
313 is $1.5$ for asymmetric ripple and $2.2$ for symmetric ripple. These
314 values are consistent to the experimental results. Note, the
315 amplitudes are underestimated without the melted tails in our
316 simulations.
317
318 The $P_2$ order paramters (for molecular bodies and head group
319 dipoles) have been calculated to clarify the ordering in these phases
320 quantatively. $P_2=1$ means a perfectly ordered structure, and $P_2=0$
321 implies orientational randomization. Figure \ref{fig:rP2} shows the
322 $P_2$ order paramter of the dipoles on head group rising with
323 increasing head group size. When the heads of the lipid molecules are
324 small, the membrane is flat. The dipolar ordering is essentially
325 frustrated on orientational ordering in this circumstance. Another
326 reason is that the lipids can move independently in each monolayer, it
327 is not nessasory for the direction of dipoles on one leaf is
328 consistant to another layer, which makes total order parameter is
329 relatively low. With increasing head group size, the surface is
330 corrugated, and dipoles do not move as freely on the
331 surface. Therefore, the translational freedom of lipids in one layer
332 is dependent upon the position of lipids in another layer, as a
333 result, the symmetry of the dipoles on head group in one layer is tied
334 to the symmetry in the other layer. Furthermore, as the membrane
335 deforms from two to three dimensions due to the corrugation, the
336 symmetry of the ordering for the dipoles embedded on each leaf is
337 broken. The dipoles then self-assemble in a head-tail configuration,
338 and the order parameter increases dramaticaly. However, the total
339 polarization of the system is still close to zero. This is strong
340 evidence that the corrugated structure is an antiferroelectric
341 state. The orientation of the dipolar is always perpendicular to the
342 ripple wave vector. These results are consistent with our previous
343 study on dipolar membranes.
344
345 The ordering of the tails is essentially opposite to the ordering of
346 the dipoles on head group. The $P_2$ order parameter decreases with
347 increasing head size. This indicates the surface is more curved with
348 larger head groups. When the surface is flat, all tails are pointing
349 in the same direction; in this case, all tails are parallel to the
350 normal of the surface,(making this structure remindcent of the
351 $L_{\beta}$ phase. Increasing the size of the heads, results in
352 rapidly decreasing $P_2$ ordering for the molecular bodies.
353 \begin{figure}[htb]
354 \centering
355 \includegraphics[width=\linewidth]{rP2}
356 \caption{The $P_2$ order parameter as a funtion of the ratio of
357 $\sigma_h$ to $\sigma_0$.\label{fig:rP2}}
358 \end{figure}
359
360 We studied the effects of the interactions between head groups on the
361 structure of lipid bilayer by changing the strength of the dipole.
362 Figure \ref{fig:sP2} shows how the $P_2$ order parameter changes with
363 increasing strength of the dipole. Generally the dipoles on the head
364 group are more ordered by increase in the strength of the interaction
365 between heads and are more disordered by decreasing the interaction
366 stength. When the interaction between the heads is weak enough, the
367 bilayer structure does not persist; all lipid molecules are solvated
368 directly in the water. The critial value of the strength of the dipole
369 depends on the head size. The perfectly flat surface melts at $5$
370 $0.03$ debye, the asymmetric rippled surfaces melt at $8$ $0.04$
371 $0.03$ debye, the symmetric rippled surfaces melt at $10$ $0.04$
372 debye. The ordering of the tails is the same as the ordering of the
373 dipoles except for the flat phase. Since the surface is already
374 perfect flat, the order parameter does not change much until the
375 strength of the dipole is $15$ debye. However, the order parameter
376 decreases quickly when the strength of the dipole is further
377 increased. The head groups of the lipid molecules are brought closer
378 by stronger interactions between them. For a flat surface, a large
379 amount of free volume between the head groups is available, but when
380 the head groups are brought closer, the tails will splay outward,
381 forming an inverse micelle. When $\sigma_h=1.28\sigma_0$, the $P_2$
382 order parameter decreases slightly after the strength of the dipole is
383 increased to $16$ debye. For rippled surfaces, there is less free
384 volume available between the head groups. Therefore there is little
385 effect on the structure of the membrane due to increasing dipolar
386 strength. However, the increase of the $P_2$ order parameter implies
387 the membranes are flatten by the increase of the strength of the
388 dipole. Unlike other systems that melt directly when the interaction
389 is weak enough, for $\sigma_h=1.41\sigma_0$, part of the membrane
390 melts into itself first. The upper leaf of the bilayer becomes totally
391 interdigitated with the lower leaf. This is different behavior than
392 what is exhibited with the interdigitated lines in the rippled phase
393 where only one interdigitated line connects the two leaves of bilayer.
394 \begin{figure}[htb]
395 \centering
396 \includegraphics[width=\linewidth]{sP2}
397 \caption{The $P_2$ order parameter as a funtion of the strength of the
398 dipole.\label{fig:sP2}}
399 \end{figure}
400
401 Figure \ref{fig:tP2} shows the dependence of the order parameter on
402 temperature. The behavior of the $P_2$ order paramter is
403 straightforward. Systems are more ordered at low temperature, and more
404 disordered at high temperatures. When the temperature is high enough,
405 the membranes are instable. For flat surfaces ($\sigma_h=1.20\sigma_0$
406 and $\sigma_h=1.28\sigma_0$), when the temperature is increased to
407 $310$, the $P_2$ order parameter increases slightly instead of
408 decreases like ripple surface. This is an evidence of the frustration
409 of the dipolar ordering in each leaf of the lipid bilayer, at low
410 temperature, the systems are locked in a local minimum energy state,
411 with increase of the temperature, the system can jump out the local
412 energy well to find the lower energy state which is the longer range
413 orientational ordering. Like the dipolar ordering of the flat
414 surfaces, the ordering of the tails of the lipid molecules for ripple
415 membranes ($\sigma_h=1.35\sigma_0$ and $\sigma_h=1.41\sigma_0$) also
416 show some nonthermal characteristic. With increase of the temperature,
417 the $P_2$ order parameter decreases firstly, and increases afterward
418 when the temperature is greater than $290 K$. The increase of the
419 $P_2$ order parameter indicates a more ordered structure for the tails
420 of the lipid molecules which corresponds to a more flat surface. Since
421 our model lacks the detailed information on lipid tails, we can not
422 simulate the fluid phase with melted fatty acid chains. Moreover, the
423 formation of the tilted $L_{\beta'}$ phase also depends on the
424 organization of fatty groups on tails.
425 \begin{figure}[htb]
426 \centering
427 \includegraphics[width=\linewidth]{tP2}
428 \caption{The $P_2$ order parameter as a funtion of
429 temperature.\label{fig:tP2}}
430 \end{figure}
431
432 \section{Discussion}
433 \label{sec:discussion}
434
435 \bibliography{mdripple}
436 \end{document}