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4  
5   \section{\label{lipidSec:Intro}Introduction}
6  
7 < \section{\label{lipidSec:Methods}Methods}
7 > In the past 10 years, increasing computer speeds have allowed for the
8 > atomistic simulation of phospholipid bilayers for increasingly
9 > relevant lengths of time.  These simulations have ranged from
10 > simulation of the gel phase ($L_{\beta}$) of
11 > dipalmitoylphosphatidylcholine (DPPC),\cite{lindahl00} to the
12 > spontaneous aggregation of DPPC molecules into fluid phase
13 > ($L_{\alpha}$) bilayers.\cite{marrink01} With the exception of a few
14 > ambitious
15 > simulations,\cite{marrink01:undulation,marrink:2002,lindahl00} most
16 > investigations are limited to a range of 64 to 256
17 > phospholipids.\cite{lindahl00,sum:2003,venable00,gomez:2003,smondyrev:1999,marrink01}
18 > The expense of the force calculations involved when performing these
19 > simulations limits the system size. To properly hydrate a bilayer, one
20 > typically needs 25 water molecules for every lipid, bringing the total
21 > number of atoms simulated to roughly 8,000 for a system of 64 DPPC
22 > molecules. Added to the difficulty is the electrostatic nature of the
23 > phospholipid head groups and water, requiring either the
24 > computationally expensive Ewald sum or the faster, particle mesh Ewald
25 > sum.\cite{nina:2002,norberg:2000,patra:2003} These factors all limit
26 > the system size and time scales of bilayer simulations.
27  
28 < \subsection{\label{lipidSec:lipidMedel}The Lipid Model}
28 > Unfortunately, much of biological interest happens on time and length
29 > scales well beyond the range of current simulation technology. One
30 > such example is the observance of a ripple phase
31 > ($P_{\beta^{\prime}}$) between the $L_{\beta}$ and $L_{\alpha}$ phases
32 > of certain phospholipid bilayers.\cite{katsaras00,sengupta00} These
33 > ripples are shown to have periodicity on the order of
34 > 100-200~$\mbox{\AA}$. A simulation on this length scale would have
35 > approximately 1,300 lipid molecules with an additional 25 water
36 > molecules per lipid to fully solvate the bilayer. A simulation of this
37 > size is impractical with current atomistic models.
38  
39 < \begin{figure}
39 > The time and length scale limitations are most striking in transport
40 > phenomena.  Due to the fluid-like properties of a lipid membrane, not
41 > all diffusion across the membrane happens at pores.  Some molecules of
42 > interest may incorporate themselves directly into the membrane.  Once
43 > here, they may possess an appreciable waiting time (on the order of
44 > 10's to 100's of nanoseconds) within the bilayer. Such long simulation
45 > times are nearly impossible to obtain when integrating the system with
46 > atomistic detail.
47  
48 < \caption{Schematic diagram of the single chain phospholipid model}
48 > To address these issues, several schemes have been proposed.  One
49 > approach by Goetz and Liposky\cite{goetz98} is to model the entire
50 > system as Lennard-Jones spheres. Phospholipids are represented by
51 > chains of beads with the top most beads identified as the head
52 > atoms. Polar and non-polar interactions are mimicked through
53 > attractive and soft-repulsive potentials respectively.  A similar
54 > model proposed by Marrinck \emph{et. al}.\cite{marrink04}~uses a
55 > similar technique for modeling polar and non-polar interactions with
56 > Lennard-Jones spheres. However, they also include charges on the head
57 > group spheres to mimic the electrostatic interactions of the
58 > bilayer. While the solvent spheres are kept charge-neutral and
59 > interact with the bilayer solely through an attractive Lennard-Jones
60 > potential.
61  
62 < \label{lipidFig:lipidModel}
62 > The model used in this investigation adds more information to the
63 > interactions than the previous two models, while still balancing the
64 > need for simplifications over atomistic detail.  The model uses
65 > Lennard-Jones spheres for the head and tail groups of the
66 > phospholipids, allowing for the ability to scale the parameters to
67 > reflect various sized chain configurations while keeping the number of
68 > interactions small.  What sets this model apart, however, is the use
69 > of dipoles to represent the electrostatic nature of the
70 > phospholipids. The dipole electrostatic interaction is shorter range
71 > than Coulombic ($\frac{1}{r^3}$ versus $\frac{1}{r}$), and eliminates
72 > the need for a costly Ewald sum.
73  
74 + Another key feature of this model, is the use of a dipolar water model
75 + to represent the solvent. The soft sticky dipole ({\sc ssd}) water
76 + \cite{liu96:new_model} relies on the dipole for long range electrostatic
77 + effects, but also contains a short range correction for hydrogen
78 + bonding. In this way the systems in this research mimic the entropic
79 + contribution to the hydrophobic effect due to hydrogen-bond network
80 + deformation around a non-polar entity, \emph{i.e.}~the phospholipid
81 + molecules.
82 +
83 + The following is an outline of this chapter.
84 + Sec.~\ref{lipidSec:Methods} is an introduction to the lipid model used
85 + in these simulations, as well as clarification about the water model
86 + and integration techniques. The various simulations explored in this
87 + research are outlined in
88 + Sec.~\ref{lipidSec:ExpSetup}. Sec.~\ref{lipidSec:resultsDis} gives a
89 + summary and interpretation of the results.  Finally, the conclusions
90 + of this chapter are presented in Sec.~\ref{lipidSec:Conclusion}.
91 +
92 + \section{\label{lipidSec:Methods}Methods}
93 +
94 + \subsection{\label{lipidSec:lipidModel}The Lipid Model}
95 +
96 + \begin{figure}
97 + \centering
98 + \includegraphics[width=\linewidth]{twoChainFig.eps}
99 + \caption[The two chained lipid model]{Schematic diagram of the double chain phospholipid model. The head group (in red) has a point dipole, $\boldsymbol{\mu}$, located at its center of mass. The two chains are eight methylene groups in length.}
100 + \label{lipidFig:lipidModel}
101   \end{figure}
102  
103   The phospholipid model used in these simulations is based on the
104   design illustrated in Fig.~\ref{lipidFig:lipidModel}.  The head group
105   of the phospholipid is replaced by a single Lennard-Jones sphere of
106 < diameter $fix$, with $fix$ scaling the well depth of its van der Walls
107 < interaction.  This sphere also contains a single dipole of magnitude
108 < $fix$, where $fix$ can be varied to mimic the charge separation of a
106 > diameter $\sigma_{\text{head}}$, with $\epsilon_{\text{head}}$ scaling
107 > the well depth of its van der Walls interaction.  This sphere also
108 > contains a single dipole of magnitude $|\boldsymbol{\mu}|$, where
109 > $|\boldsymbol{\mu}|$ can be varied to mimic the charge separation of a
110   given phospholipid head group.  The atoms of the tail region are
111 < modeled by unified atom beads.  They are free of partial charges or
112 < dipoles, containing only Lennard-Jones interaction sites at their
113 < centers of mass.  As with the head groups, their potentials can be
114 < scaled by $fix$ and $fix$.
111 > modeled by beads representing multiple methyl groups.  They are free
112 > of partial charges or dipoles, and contain only Lennard-Jones
113 > interaction sites at their centers of mass.  As with the head groups,
114 > their potentials can be scaled by $\sigma_{\text{tail}}$ and
115 > $\epsilon_{\text{tail}}$.
116  
117   The long range interactions between lipids are given by the following:
118   \begin{equation}
119 < EQ Here
119 > V_{\text{LJ}}(r_{ij}) =
120 >        4\epsilon_{ij} \biggl[
121 >        \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{12}
122 >        - \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{6}
123 >        \biggr]
124   \label{lipidEq:LJpot}
125   \end{equation}
126   and
127   \begin{equation}
128 < EQ Here
128 > V_{\text{dipole}}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
129 >        \boldsymbol{\Omega}_{j}) = \frac{|\mu_i||\mu_j|}{4\pi\epsilon_{0}r_{ij}^{3}} \biggl[
130 >        \boldsymbol{\hat{u}}_{i} \cdot \boldsymbol{\hat{u}}_{j}
131 >        -
132 >        3(\boldsymbol{\hat{u}}_i \cdot \mathbf{\hat{r}}_{ij}) %
133 >                (\boldsymbol{\hat{u}}_j \cdot \mathbf{\hat{r}}_{ij} \biggr]
134   \label{lipidEq:dipolePot}
135   \end{equation}
136   Where $V_{\text{LJ}}$ is the Lennard-Jones potential and
# Line 44 | Line 139 | In $V_{\text{dipole}}$, $\mathbf{r}_{ij}$ is the vecto
139   parameters which scale the length and depth of the interaction
140   respectively, and $r_{ij}$ is the distance between beads $i$ and $j$.
141   In $V_{\text{dipole}}$, $\mathbf{r}_{ij}$ is the vector starting at
142 < bead$i$ and pointing towards bead $j$.  Vectors $\mathbf{\Omega}_i$
142 > bead $i$ and pointing towards bead $j$.  Vectors $\mathbf{\Omega}_i$
143   and $\mathbf{\Omega}_j$ are the orientational degrees of freedom for
144   beads $i$ and $j$.  $|\mu_i|$ is the magnitude of the dipole moment of
145   $i$, and $\boldsymbol{\hat{u}}_i$ is the standard unit orientation
146 < vector of $\boldsymbol{\Omega}_i$.
146 > vector rotated with Euler angles: $\boldsymbol{\Omega}_i$.
147  
148 < The model also allows for the bonded interactions of bonds, bends, and
149 < torsions.  The bonds between two beads on a chain are of fixed length,
150 < and are maintained according to the {\sc rattle} algorithm. \cite{fix}
148 > The model also allows for the bonded interactions bends, and torsions.
149 > The bond between two beads on a chain is of fixed length, and is
150 > maintained according to the {\sc rattle} algorithm.\cite{andersen83}
151   The bends are subject to a harmonic potential:
152   \begin{equation}
153 < eq here
153 > V_{\text{bend}}(\theta) = k_{\theta}( \theta - \theta_0 )^2
154   \label{lipidEq:bendPot}
155   \end{equation}
156 < where $fix$ scales the strength of the harmonic well, and $fix$ is the
157 < angle between bond vectors $fix$ and $fix$.  The torsion potential is
158 < given by:
156 > where $k_{\theta}$ scales the strength of the harmonic well, and
157 > $\theta$ is the angle between bond vectors
158 > (Fig.~\ref{lipidFig:lipidModel}). In addition, we have placed a
159 > ``ghost'' bend on the phospholipid head. The ghost bend adds a
160 > potential to keep the dipole pointed along the bilayer surface, where
161 > $\theta$ is now the angle the dipole makes with respect to the {\sc
162 > head}-$\text{{\sc ch}}_2$ bond vector
163 > (Fig.~\ref{lipidFig:ghostBend}). The torsion potential is given by:
164   \begin{equation}
165 < eq here
165 > V_{\text{torsion}}(\phi) =  
166 >        k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0
167   \label{lipidEq:torsionPot}
168   \end{equation}
169   Here, the parameters $k_0$, $k_1$, $k_2$, and $k_3$ fit the cosine
170   power series to the desired torsion potential surface, and $\phi$ is
171 < the angle between bondvectors $fix$ and $fix$ along the vector $fix$
172 < (see Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as
173 < the Lennard-Jones potential are excluded for bead pairs involved in
174 < the same bond, bend, or torsion.  However, internal interactions not
171 > the angle the two end atoms have rotated about the middle bond
172 > (Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as the
173 > Lennard-Jones potential are excluded for atom pairs involved in the
174 > same bond, bend, or torsion.  However, internal interactions not
175   directly involved in a bonded pair are calculated.
176 +
177 + \begin{figure}
178 + \centering
179 + \includegraphics[width=\linewidth]{ghostBendFig.eps}
180 + \caption[Depiction of the ``ghost'' bend]{The ``ghost'' bend is a bend potential added to constrain the motion of the dipole on the {\sc head} group. The potential follows Eq.~\ref{lipidEq:bendPot} where $\theta$ is now the angle that the dipole makes with the {\sc head}-$\text{{\sc ch}}_2$ bond vector.}
181 + \label{lipidFig:ghostBend}
182 + \end{figure}
183 +
184 + All simulations presented here use a two chained lipid as pictured in
185 + Fig.~\ref{lipidFig:lipidModel}.  The chains are both eight beads long,
186 + and their mass and Lennard Jones parameters are summarized in
187 + Table~\ref{lipidTable:tcLJParams}. The magnitude of the dipole moment
188 + for the head bead is 10.6~Debye, and the bend and torsion parameters
189 + are summarized in Table~\ref{lipidTable:tcBendParams} and
190 + \ref{lipidTable:tcTorsionParams}.
191 +
192 + \begin{table}
193 + \caption{The Lennard Jones Parameters for the two chain phospholipids.}
194 + \label{lipidTable:tcLJParams}
195 + \begin{center}
196 + \begin{tabular}{|l|c|c|c|}
197 + \hline
198 +     & mass (amu) & $\sigma$($\mbox{\AA}$)  & $\epsilon$ (kcal/mol) \\ \hline
199 + {\sc head} & 72  & 4.0 & 0.185 \\ \hline
200 + {\sc ch}\cite{Siepmann1998} & 13.02 & 4.0 & 0.0189 \\ \hline
201 + $\text{{\sc ch}}_2$\cite{Siepmann1998} & 14.03 & 3.95 & 0.18 \\ \hline
202 + $\text{{\sc ch}}_3$\cite{Siepmann1998} & 15.04 & 3.75 & 0.25 \\ \hline
203 + {\sc ssd}\cite{liu96:new_model} & 18.03 & 3.051 & 0.152 \\ \hline
204 + \end{tabular}
205 + \end{center}
206 + \end{table}
207 +
208 + \begin{table}
209 + \caption[Bend Parameters for the two chain phospholipids]{Bend Parameters for the two chain phospholipids. All alkane parameters are based off of those from TraPPE.\cite{Siepmann1998}}
210 + \label{lipidTable:tcBendParams}
211 + \begin{center}
212 + \begin{tabular}{|l|c|c|}
213 + \hline
214 +   & $k_{\theta}$ ( kcal/($\text{mol deg}^2$) ) & $\theta_0$ ( deg ) \\ \hline
215 + {\sc ghost}-{\sc head}-$\text{{\sc ch}}_2$ & 0.00177 & 129.78 \\ \hline
216 + $x$-{\sc ch}-$y$ & 58.84 & 112.0 \\ \hline
217 + $x$-$\text{{\sc ch}}_2$-$y$ & 58.84 & 114.0 \\ \hline
218 + \end{tabular}
219 + \end{center}
220 + \end{table}
221 +
222 + \begin{table}
223 + \caption[Torsion Parameters for the two chain phospholipids]{Torsion Parameters for the two chain phospholipids. Alkane parameters based on TraPPE.\cite{Siepmann1998}}
224 + \label{lipidTable:tcTorsionParams}
225 + \begin{center}
226 + \begin{tabular}{|l|c|c|c|c|}
227 + \hline
228 + All are in kcal/mol $\rightarrow$ & $k_3$ & $k_2$ & $k_1$ & $k_0$ \\ \hline
229 + $x$-{\sc ch}-$y$-$z$ & 3.3254 & -0.4215 & -1.686 & 1.1661 \\ \hline
230 + $x$-$\text{{\sc ch}}_2$-$\text{{\sc ch}}_2$-$y$ & 5.9602 & -0.568 & -3.802 & 2.1586 \\ \hline
231 + \end{tabular}
232 + \end{center}
233 + \end{table}
234 +
235 +
236 + \section{\label{lipidSec:furtherMethod}Further Methodology}
237 +
238 + As mentioned previously, the water model used throughout these
239 + simulations was the {\sc ssd} model of
240 + Ichiye.\cite{liu96:new_model,liu96:monte_carlo,chandra99:ssd_md} A
241 + discussion of the model can be found in Sec.~\ref{oopseSec:SSD}. As
242 + for the integration of the equations of motion, all simulations were
243 + performed in an orthorhombic periodic box with a thermostat on
244 + velocities, and an independent barostat on each Cartesian axis $x$,
245 + $y$, and $z$.  This is the $\text{NPT}_{xyz}$. ensemble described in
246 + Sec.~\ref{oopseSec:integrate}.
247 +
248 +
249 + \subsection{\label{lipidSec:ExpSetup}Experimental Setup}
250 +
251 + Two main starting configuration classes were used in this research:
252 + random and ordered bilayers.  The ordered bilayer starting
253 + configurations were all started from an equilibrated bilayer at
254 + 300~K. The original configuration for the first 300~K run was
255 + assembled by placing the phospholipids centers of mass on a planar
256 + hexagonal lattice.  The lipids were oriented with their long axis
257 + perpendicular to the plane.  The second leaf simply mirrored the first
258 + leaf, and the appropriate number of waters were then added above and
259 + below the bilayer.
260 +
261 + The random configurations took more work to generate.  To begin, a
262 + test lipid was placed in a simulation box already containing water at
263 + the intended density.  The waters were then tested for overlap with
264 + the lipid using a 5.0~$\mbox{\AA}$ buffer distance.  This gave an
265 + estimate for the number of waters each lipid would displace in a
266 + simulation box. A target number of waters was then defined which
267 + included the number of waters each lipid would displace, the number of
268 + waters desired to solvate each lipid, and a factor to pad the
269 + initial box with a few extra water molecules.
270 +
271 + Next, a cubic simulation box was created that contained at least the
272 + target number of waters in an FCC lattice (the lattice was for ease of
273 + placement).  What followed was a RSA simulation similar to those of
274 + Chapt.~\ref{chapt:RSA}. The lipids were sequentially given a random
275 + position and orientation within the box.  If a lipid's position caused
276 + atomic overlap with any previously placed lipid, its position and
277 + orientation were rejected, and a new random placement site was
278 + attempted. The RSA simulation proceeded until all phospholipids had
279 + been adsorbed.  After placement of all lipid molecules, water
280 + molecules with locations that overlapped with the atomic coordinates
281 + of the lipids were removed.
282 +
283 + Finally, water molecules were removed at random until the desired
284 + number of waters per lipid was reached.  The typical low final density
285 + for these initial configurations was not a problem, as the box shrinks
286 + to an appropriate size within the first 50~ps of a simulation in the
287 + $\text{NPT}_{xyz}$ ensemble.
288 +
289 + \subsection{\label{lipidSec:Configs}Configurations}
290 +
291 + The first class of simulations were started from ordered
292 + bilayers. They were all configurations consisting of 60 lipid
293 + molecules with 30 lipids on each leaf, and were hydrated with 1620
294 + {\sc ssd} molecules. The original configuration was assembled
295 + according to Sec.~\ref{lipidSec:ExpSetup} and simulated for a length
296 + of 10~ns at 300~K. The other temperature runs were started from a
297 + frame 7~ns into the 300~K simulation. Their temperatures were reset
298 + with the thermostating algorithm in the $\text{NPT}_{xyz}$
299 + integrator. All of the temperature variants were also run for 10~ns,
300 + with only the last 5~ns being used for accumulation of statistics.
301  
302 + The second class of simulations were two configurations started from
303 + randomly dispersed lipids in a ``gas'' of water. The first
304 + ($\text{R}_{\text{I}}$) was a simulation containing 72 lipids with
305 + 1800 {\sc ssd} molecules simulated at 300~K. The second
306 + ($\text{R}_{\text{II}}$) was 90 lipids with 1350 {\sc ssd} molecules
307 + simulated at 350~K. Both simulations were integrated for more than
308 + 20~ns, and illustrate the spontaneous aggregation of the lipid model
309 + into phospholipid macro-structures: $\text{R}_{\text{I}}$ into a
310 + bilayer, and $\text{R}_{\text{II}}$ into a inverted rod.
311  
312 + \section{\label{lipidSec:resultsDis}Results and Discussion}
313 +
314 + \subsection{\label{lipidSec:diffusion}Lateral Diffusion Constants}
315 +
316 + The lateral diffusion constant, $D_L$, is the constant characterizing
317 + the diffusive motion of the lipid within the plane of the bilayer. It
318 + is given by the following Einstein relation valid at long
319 + times:\cite{allen87:csl}
320 + \begin{equation}
321 + 2tD_L = \frac{1}{2}\langle |\mathbf{r}(t) - \mathbf{r}(0)|^2\rangle
322 + \end{equation}
323 + Where $\mathbf{r}(t)$ is the position of the lipid at time $t$, and is
324 + constrained to lie within a plane. For the bilayer simulations the
325 + plane of constrained motion was that perpendicular to the bilayer
326 + normal, namely the $xy$-plane.
327 +
328 + Fig.~\ref{lipidFig:diffusionFig} shows the lateral diffusion constants
329 + as a function of temperature. There is a definite increase in the
330 + lateral diffusion with higher temperatures, which is exactly what one
331 + would expect with greater fluidity of the chains. However, the
332 + diffusion constants are all two orders of magnitude smaller than those
333 + typical of DPPC.\cite{Cevc87} This is counter-intuitive as the DPPC
334 + molecule is sterically larger and heavier than our model. This could
335 + be an indication that our model's chains are too interwoven and hinder
336 + the motion of the lipid, or that a simplification in the model's
337 + forces has led to a slowing of diffusive behavior within the
338 + bilayer. In contrast, the diffusion constant of the {\sc ssd} water,
339 + $9.84\times 10^{-6}\,\text{cm}^2/\text{s}$, compares favorably with
340 + that of bulk water ($2.2999\times
341 + 10^{-5}\,\text{cm}^2/\text{s}$\cite{Holz00}).
342 +
343 + \begin{figure}
344 + \centering
345 + \includegraphics[width=\linewidth]{diffusionFig.eps}
346 + \caption[The lateral diffusion constants versus temperature]{The lateral diffusion constants for the bilayers as a function of temperature.}
347 + \label{lipidFig:diffusionFig}
348 + \end{figure}
349 +
350 + \subsection{\label{lipidSec:densProf}Density Profile}
351 +
352 + Fig.~\ref{lipidFig:densityProfile} illustrates the densities of the
353 + atoms in the bilayer systems normalized by the bulk density as a
354 + function of distance from the center of the box. The profile is taken
355 + along the bilayer normal, in this case the $z$ axis. The profile at
356 + 270~K shows several structural features that are largely smoothed out
357 + by 300~K. The left peak for the {\sc head} atoms is split at 270~K,
358 + implying that some freezing of the structure might already be occurring
359 + at this temperature. From the dynamics, the tails at this temperature
360 + are very much fluid, but the profile could indicate that a phase
361 + transition may simply be beyond the length scale of the current
362 + simulation. In all profiles, the water penetrates almost
363 + 5~$\mbox{\AA}$ into the bilayer, completely solvating the {\sc head}
364 + atoms. The $\text{{\sc ch}}_3$ atoms although mainly centered at the
365 + middle of the bilayer, show appreciable penetration into the head
366 + group region. This indicates that the chains have enough mobility to
367 + bend back upward to allow the ends to explore areas around the {\sc
368 + head} atoms. It is unlikely that this is penetration from a lipid of
369 + the opposite face, as the lipids are only 12~$\mbox{\AA}$ in length,
370 + and the typical leaf spacing as measured from the {\sc head-head}
371 + spacing in the profile is 17.5~$\mbox{\AA}$.
372 +
373 + \begin{figure}
374 + \centering
375 + \includegraphics[width=\linewidth]{densityProfile.eps}
376 + \caption[The density profile of the lipid bilayers]{The density profile of the lipid bilayers along the bilayer normal. The black lines are the {\sc head} atoms, red lines are the {\sc ch} atoms, green lines are the $\text{{\sc ch}}_2$ atoms, blue lines are the $\text{{\sc ch}}_3$ atoms, and the magenta lines are the {\sc ssd} atoms.}
377 + \label{lipidFig:densityProfile}
378 + \end{figure}
379 +
380 +
381 + \subsection{\label{lipidSec:scd}$\text{S}_{\text{{\sc cd}}}$ Order Parameters}
382 +
383 + The $\text{S}_{\text{{\sc cd}}}$ order parameter is often reported in
384 + the experimental characterizations of phospholipids. It is obtained
385 + through deuterium NMR, and measures the ordering of the carbon
386 + deuterium bond in relation to the bilayer normal at various points
387 + along the chains. In our model, there are no explicit hydrogens, but
388 + the order parameter can be written in terms of the carbon ordering at
389 + each point in the chain:\cite{egberts88}
390 + \begin{equation}
391 + S_{\text{{\sc cd}}}  = \frac{2}{3}S_{xx} + \frac{1}{3}S_{yy}
392 + \label{lipidEq:scd1}
393 + \end{equation}
394 + Where $S_{ij}$ is given by:
395 + \begin{equation}
396 + S_{ij} = \frac{1}{2}\Bigl\langle(3\cos\Theta_i\cos\Theta_j
397 +        - \delta_{ij})\Bigr\rangle
398 + \label{lipidEq:scd2}
399 + \end{equation}
400 + Here, $\Theta_i$ is the angle the $i$th axis in the reference frame of
401 + the carbon atom makes with the bilayer normal. The brackets denote an
402 + average over time and molecules. The carbon atom axes are defined:
403 + $\mathbf{\hat{z}}\rightarrow$ vector from $C_{n-1}$ to $C_{n+1}$;
404 + $\mathbf{\hat{y}}\rightarrow$ vector that is perpendicular to $z$ and
405 + in the plane through $C_{n-1}$, $C_{n}$, and $C_{n+1}$;
406 + $\mathbf{\hat{x}}\rightarrow$ vector perpendicular to
407 + $\mathbf{\hat{y}}$ and $\mathbf{\hat{z}}$.
408 +
409 + The order parameter has a range of $[1,-\frac{1}{2}]$. A value of 1
410 + implies full order aligned to the bilayer axis, 0 implies full
411 + disorder, and $-\frac{1}{2}$ implies full order perpendicular to the
412 + bilayer axis. The {\sc cd} bond vector for carbons near the head group
413 + are usually ordered perpendicular to the bilayer normal, with tails
414 + farther away tending toward disorder. This makes the order parameter
415 + negative for most carbons, and as such $|S_{\text{{\sc cd}}}|$ is more
416 + commonly reported than $S_{\text{{\sc cd}}}$.
417 +
418 + Fig.~\ref{lipidFig:scdFig} shows the $S_{\text{{\sc cd}}}$ order
419 + parameters for the bilayer system at 300~K. There is no appreciable
420 + difference in the plots for the various temperatures, however, there
421 + is a larger difference between our models ordering, and that of
422 + DMPC. As our values are closer to $-\frac{1}{2}$, this implies more
423 + ordering perpendicular to the normal than in a real system. This is
424 + due to the model having only one carbon group separating the chains
425 + from the top of the lipid. In DMPC, with the flexibility inherent in a
426 + multiple atom head group, as well as a glycerol linkage between the
427 + head group and the acyl chains, there is more loss of ordering by the
428 + point when the chains start.
429 +
430 + \begin{figure}
431 + \centering
432 + \includegraphics[width=\linewidth]{scdFig.eps}
433 + \caption[$\text{S}_{\text{{\sc cd}}}$ order parameter for our model]{A comparison of $|\text{S}_{\text{{\sc cd}}}|$ between our model (blue) and DMPC\cite{petrache00} (black) near 300~K.}
434 + \label{lipidFig:scdFig}
435 + \end{figure}
436 +
437 + \subsection{\label{lipidSec:p2Order}$P_2$ Order Parameter}
438 +
439 + The $P_2$ order parameter allows us to measure the amount of
440 + directional ordering that exists in the bilayer. Each lipid molecule
441 + can be thought of as a cylindrical tube with the head group at the
442 + top. If all of the cylinders are perfectly aligned, the $P_2$ order
443 + parameter will be $1.0$. If the cylinders are completely dispersed,
444 + the $P_2$ order parameter will be 0. For a collection of unit vectors,
445 + the $P_2$ order parameter can be solved via the following
446 + method.\cite{zannoni94}
447 +
448 + Define an ordering matrix $\mathbf{Q}$, such that,
449 + \begin{equation}
450 + \mathbf{Q} = \frac{1}{N}\sum_i^N %
451 +        \begin{pmatrix} %
452 +        u_{ix}u_{ix}-\frac{1}{3} & u_{ix}u_{iy} & u_{ix}u_{iz} \\
453 +        u_{iy}u_{ix} & u_{iy}u_{iy}-\frac{1}{3} & u_{iy}u_{iz} \\
454 +        u_{iz}u_{ix} & u_{iz}u_{iy} & u_{iz}u_{iz}-\frac{1}{3} %
455 +        \end{pmatrix}
456 + \label{lipidEq:po1}
457 + \end{equation}
458 + Where the $u_{i\alpha}$ is the $\alpha$ element of the unit vector
459 + $\mathbf{\hat{u}}_i$, and the sum over $i$ averages over the whole
460 + collection of unit vectors. This allows the matrix element
461 + $Q_{\alpha\beta}$ to be written:
462 + \begin{equation}
463 + Q_{\alpha\beta} = \langle u_{\alpha}u_{\beta} -
464 +        \frac{1}{3}\delta_{\alpha\beta} \rangle
465 + \label{lipidEq:po2}
466 + \end{equation}
467 +
468 + Having constructed the matrix, diagonalizing $\mathbf{Q}$ yields three
469 + eigenvalues and eigenvectors. The eigenvector associated with the
470 + largest eigenvalue, $\lambda_{\text{max}}$, is the director for the
471 + system of unit vectors. The director is the average direction all of
472 + the unit vectors are pointing. The $P_2$ order parameter is then
473 + simply
474 + \begin{equation}
475 + \langle P_2 \rangle = \frac{3}{2}\lambda_{\text{max}}
476 + \label{lipidEq:po3}
477 + \end{equation}
478 +
479 + Table~\ref{lipidTab:blSummary} summarizes the $P_2$ values for the
480 + bilayers, as well as the dipole orientations. The unit vector for the
481 + lipid molecules was defined by finding the moment of inertia for each
482 + lipid, then setting $\mathbf{\hat{u}}$ to point along the axis of
483 + minimum inertia. For the {\sc head} atoms, the unit vector simply
484 + pointed in the same direction as the dipole moment. For the lipid
485 + molecules, the ordering was consistent across all temperatures, with
486 + the director pointed along the $z$ axis of the box. More
487 + interestingly, is the high degree of ordering the dipoles impose on
488 + the {\sc head} atoms. The directors for the dipoles consistently
489 + pointed along the plane of the bilayer, with the directors
490 + anti-aligned on the top and bottom leaf.
491 +
492 + \begin{table}
493 + \caption[Structural properties of the bilayers]{Bilayer Structural properties as a function of temperature.}
494 + \label{lipidTab:blSummary}
495 + \begin{center}
496 + \begin{tabular}{|c|c|c|c|c|}
497 + \hline
498 + Temperature (K) & $\langle L_{\perp}\rangle$ ($\mbox{\AA}$) & %
499 +        $\langle A_{\parallel}\rangle$ ($\mbox{\AA}^2$) & %
500 +        $\langle P_2\rangle_{\text{Lipid}}$ & %
501 +        $\langle P_2\rangle_{\text{{\sc head}}}$ \\ \hline
502 + 270 & 18.1 & 58.1 & 0.253 & 0.494 \\ \hline
503 + 275 & 17.2 & 56.7 & 0.295 & 0.514 \\ \hline
504 + 277 & 16.9 & 58.0 & 0.301 & 0.541 \\ \hline
505 + 280 & 17.4 & 58.0 & 0.274 & 0.488 \\ \hline
506 + 285 & 16.9 & 57.6 & 0.270 & 0.616 \\ \hline
507 + 290 & 17.0 & 57.6 & 0.263 & 0.534 \\ \hline
508 + 293 & 17.5 & 58.0 & 0.227 & 0.643 \\ \hline
509 + 300 & 16.9 & 57.6 & 0.315 & 0.536 \\ \hline
510 + \end{tabular}
511 + \end{center}
512 + \end{table}
513 +
514 + \subsection{\label{lipidSec:miscData}Further Bilayer Data}
515 +
516 + Also summarized in Table~\ref{lipidTab:blSummary}, are the bilayer
517 + thickness and area per lipid. The bilayer thickness was measured from
518 + the peak to peak {\sc head} atom distance in the density profiles. The
519 + area per lipid data compares favorably with values typically seen for
520 + DMPC (60.0~$\mbox{\AA}^2$ at 303~K)\cite{petrache00}. Although are
521 + values are lower this is most likely due to the shorter chain length
522 + of our model (8 versus 14 for DMPC).
523 +
524 + \subsection{\label{lipidSec:randBilayer}Bilayer Aggregation}
525 +
526 + A very important accomplishment for our model is its ability to
527 + spontaneously form bilayers from a randomly dispersed starting
528 + configuration. Fig.~\ref{lipidFig:blImage} shows an image sequence for
529 + the bilayer aggregation. After 3.0~ns, the basic form of the bilayer
530 + can already be seen. By 7.0~ns, the bilayer has a lipid bridge
531 + stretched across the simulation box to itself that will turn out to be
532 + very long lived ($\sim$20~ns), as well as a water pore, that will
533 + persist for the length of the current simulation. At 24~ns, the lipid
534 + bridge is dispersed, and the bilayer is still integrating the lipid
535 + molecules from the bridge into itself, and has still been unable to
536 + disperse the water pore.
537 +
538 + \begin{figure}
539 + \centering
540 + \includegraphics[width=\linewidth]{bLayerImage.eps}
541 + \caption[Image sequence of the bilayer aggregation]{Image sequence of the bilayer aggregation. The blue beads are the {\sc head} atoms the grey beads are the chains, and the red and white bead are the water molecules. A box has been drawn around the periodic image.}
542 + \label{lipidFig:blImage}
543 + \end{figure}
544 +
545 + \subsection{\label{lipidSec:randIrod}Inverted Rod Aggregation}
546 +
547 + Fig.~\ref{lipidFig:iRimage} shows a second aggregation sequence
548 + simulated in this research. Here the fraction of water had been
549 + significantly decreased to observe how the model would respond. After
550 + 1.5~ns, The main body of water in the system has already collected
551 + into a central water channel. By 10.0~ns, the channel has widened
552 + slightly, but there are still many sub channels permeating the lipid
553 + macro-structure. At 23.0~ns, the central water channel has stabilized
554 + and several smaller water channels have been absorbed to main
555 + one. However, there are still several other channels that persist
556 + through the lipid structure.
557 +
558 + \begin{figure}
559 + \centering
560 + \includegraphics[width=\linewidth]{iRodImage.eps}
561 + \caption[Image sequence of the inverted rod aggregation]{Image sequence of the inverted rod aggregation. color scheme is the same as in Fig.~\ref{lipidFig:blImage}.}
562 + \label{lipidFig:iRimage}
563 + \end{figure}
564 +
565 + \section{\label{lipidSec:Conclusion}Conclusion}
566 +
567 + We have presented a phospholipid model capable of spontaneous
568 + aggregation into a bilayer and an inverted rod structure. The time
569 + scales of the macro-molecular aggregations are in excess of 24~ns. In
570 + addition the model's bilayer properties have been explored over a
571 + range of temperatures through prefabricated bilayers. No freezing
572 + transition is seen in the temperature range of our current
573 + simulations. However, structural information from the lowest
574 + temperature may imply that a freezing event is on a much longer time
575 + scale than that explored in this current research. Further studies of
576 + this system could extend the time length of the simulations at the low
577 + temperatures to observe whether lipid crystallization occurs within the
578 + framework of this model.

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