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1  
2  
3 < \chapter{\label{chapt:lipid}Phospholipid Simulations}
3 > \chapter{\label{chapt:lipid}PHOSPHOLIPID SIMULATIONS}
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 ($L_{\beta}$) phase 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, direct Ewald sum or the slightly faster particle
25 > mesh Ewald (PME) sum.\cite{nina:2002,norberg:2000,patra:2003} These factors
26 > all limit 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 technologies. One
30 > such example is the observance of a ripple ($P_{\beta^{\prime}}$)
31 > phase which appears between the $L_{\beta}$ and $L_{\alpha}$ phases of
32 > certain phospholipid bilayers
33 > (Fig.~\ref{lipidFig:phaseDiag}).\cite{katsaras00,sengupta00} These
34 > ripples are known from x-ray diffraction data to have periodicities on
35 > the order of 100-200~$\mbox{\AA}$.\cite{katsaras00} A simulation on
36 > this length scale would have approximately 1,300 lipid molecules with
37 > an additional 25 water molecules per lipid to fully solvate the
38 > bilayer. A simulation of this size is impractical with current
39 > atomistic models.
40  
41   \begin{figure}
42 + \centering
43 + \includegraphics[width=\linewidth]{ripple.eps}
44 + \caption[Diagram of the bilayer gel to fluid phase transition]{Diagram showing the $P_{\beta^{\prime}}$ phase as a transition between the $L_{\beta}$ and $L_{\alpha}$ phases}
45 + \label{lipidFig:phaseDiag}
46 + \end{figure}
47  
48 < \caption{Schematic diagram of the single chain phospholipid model}
48 > The time and length scale limitations are most striking in transport
49 > phenomena.  Due to the fluid-like properties of lipid membranes, not
50 > all small molecule diffusion across the membranes happens at pores.
51 > Some molecules of interest may incorporate themselves directly into
52 > the membrane.  Once there, they may exhibit appreciable waiting times
53 > (on the order of 10's to 100's of nanoseconds) within the
54 > bilayer. Such long simulation times are nearly impossible to obtain
55 > when integrating the system with atomistic detail.
56  
57 < \label{lipidFig:lipidModel}
57 > To address these issues, several schemes have been proposed.  One
58 > approach by Goetz and Lipowsky\cite{goetz98} is to model the entire
59 > system as Lennard-Jones spheres. Phospholipids are represented by
60 > chains of beads with the top most beads identified as the head
61 > atoms. Polar and non-polar interactions are mimicked through
62 > attractive and soft-repulsive potentials respectively.  A model
63 > proposed by Marrinck \emph{et. al}.\cite{marrink04}~uses a similar
64 > technique for modeling polar and non-polar interactions with
65 > Lennard-Jones spheres. However, they also include charges on the head
66 > group spheres to mimic the electrostatic interactions of the
67 > bilayer. The solvent spheres are kept charge-neutral and
68 > interact with the bilayer solely through an attractive Lennard-Jones
69 > potential.
70  
71 + The model used in this investigation adds more information to the
72 + interactions than the previous two models, while still balancing the
73 + need for simplification of atomistic detail.  The model uses
74 + unified-atom Lennard-Jones spheres for the head and tail groups of the
75 + phospholipids, allowing for the ability to scale the parameters to
76 + reflect various sized chain configurations while keeping the number of
77 + interactions small.  What sets this model apart, however, is the use
78 + of dipoles to represent the electrostatic nature of the
79 + phospholipids. The dipole electrostatic interaction is shorter range
80 + than Coulombic ($\frac{1}{r^3}$ versus $\frac{1}{r}$), and therefore
81 + eliminates the need for the costly Ewald sum.
82 +
83 + Another key feature of this model is the use of a dipolar water model
84 + to represent the solvent. The soft sticky dipole ({\sc ssd}) water
85 + \cite{liu96:new_model} relies on the dipole for long range electrostatic
86 + effects, but also contains a short range correction for hydrogen
87 + bonding. In this way the simulated systems in this research mimic the
88 + entropic contribution to the hydrophobic effect due to hydrogen-bond
89 + network deformation around a non-polar entity, \emph{i.e.}~the
90 + phospholipid molecules. This effect has been missing from previous
91 + reduced models.
92 +
93 + The following is an outline of this chapter.
94 + Sec.~\ref{lipidSec:Methods} is an introduction to the lipid model used
95 + in these simulations, as well as clarification about the water model
96 + and integration techniques. The various simulations explored in this
97 + research are outlined in
98 + Sec.~\ref{lipidSec:ExpSetup}. Sec.~\ref{lipidSec:resultsDis} gives a
99 + summary and interpretation of the results.  Finally, the conclusions
100 + of this chapter are presented in Sec.~\ref{lipidSec:Conclusion}.
101 +
102 + \section{\label{lipidSec:Methods}Methods}
103 +
104 + \subsection{\label{lipidSec:lipidModel}The Lipid Model}
105 +
106 + \begin{figure}
107 + \centering
108 + \includegraphics[width=\linewidth]{twoChainFig.eps}
109 + \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.}
110 + \label{lipidFig:lipidModel}
111   \end{figure}
112  
113   The phospholipid model used in these simulations is based on the
114   design illustrated in Fig.~\ref{lipidFig:lipidModel}.  The head group
115   of the phospholipid is replaced by a single Lennard-Jones sphere of
116 < diameter $fix$, with $fix$ scaling the well depth of its van der Walls
117 < interaction.  This sphere also contains a single dipole of magnitude
118 < $fix$, where $fix$ can be varied to mimic the charge separation of a
116 > diameter $\sigma_{\text{head}}$, with $\epsilon_{\text{head}}$ scaling
117 > the well depth of its van der Walls interaction.  This sphere also
118 > contains a single dipole of magnitude $|\boldsymbol{\mu}|$, where
119 > $|\boldsymbol{\mu}|$ can be varied to mimic the charge separation of a
120   given phospholipid head group.  The atoms of the tail region are
121 < modeled by unified atom beads.  They are free of partial charges or
122 < dipoles, containing only Lennard-Jones interaction sites at their
123 < centers of mass.  As with the head groups, their potentials can be
124 < scaled by $fix$ and $fix$.
121 > modeled by beads representing multiple methyl groups.  They are free
122 > of partial charges or dipoles, and contain only Lennard-Jones
123 > interaction sites at their centers of mass.  As with the head groups,
124 > their potentials can be scaled by $\sigma_{\text{tail}}$ and
125 > $\epsilon_{\text{tail}}$.
126  
127 < The long range interactions between lipids are given by the following:
127 > The possible long range interactions between atomic groups in the
128 > lipids are given by the following:
129   \begin{equation}
130 < EQ Here
130 > V_{\text{LJ}}(r_{ij}) =
131 >        4\epsilon_{ij} \biggl[
132 >        \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{12}
133 >        - \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{6}
134 >        \biggr],
135   \label{lipidEq:LJpot}
136   \end{equation}
137   and
138   \begin{equation}
139 < EQ Here
139 > V_{\text{dipole}}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
140 >        \boldsymbol{\Omega}_{j}) = \frac{|\mu_i||\mu_j|}{4\pi\epsilon_{0}r_{ij}^{3}} \biggl[
141 >        \boldsymbol{\hat{u}}_{i} \cdot \boldsymbol{\hat{u}}_{j}
142 >        -
143 >        3(\boldsymbol{\hat{u}}_i \cdot \mathbf{\hat{r}}_{ij}) %
144 >                (\boldsymbol{\hat{u}}_j \cdot \mathbf{\hat{r}}_{ij} )\biggr].
145   \label{lipidEq:dipolePot}
146   \end{equation}
147 < Where $V_{\text{LJ}}$ is the Lennard-Jones potential and
147 > Here $V_{\text{LJ}}$ is the Lennard-Jones potential and
148   $V_{\text{dipole}}$ is the dipole-dipole potential.  As previously
149   stated, $\sigma_{ij}$ and $\epsilon_{ij}$ are the Lennard-Jones
150   parameters which scale the length and depth of the interaction
151   respectively, and $r_{ij}$ is the distance between beads $i$ and $j$.
152   In $V_{\text{dipole}}$, $\mathbf{r}_{ij}$ is the vector starting at
153 < bead$i$ and pointing towards bead $j$.  Vectors $\mathbf{\Omega}_i$
153 > bead $i$ and pointing towards bead $j$.  Vectors $\mathbf{\Omega}_i$
154   and $\mathbf{\Omega}_j$ are the orientational degrees of freedom for
155   beads $i$ and $j$.  $|\mu_i|$ is the magnitude of the dipole moment of
156   $i$, and $\boldsymbol{\hat{u}}_i$ is the standard unit orientation
157 < vector of $\boldsymbol{\Omega}_i$.
157 > vector rotated with Euler angles: $\boldsymbol{\Omega}_i$.
158  
159 < The model also allows for the bonded interactions of bonds, bends, and
160 < torsions.  The bonds between two beads on a chain are of fixed length,
161 < and are maintained according to the {\sc rattle} algorithm. \cite{fix}
162 < The bends are subject to a harmonic potential:
159 > The model also allows for the intra-molecular bend and torsion
160 > interactions.  The bond between two beads on a chain is of fixed
161 > length, and is maintained using the {\sc rattle}
162 > algorithm.\cite{andersen83} The bends are subject to a harmonic
163 > potential:
164   \begin{equation}
165 < eq here
165 > V_{\text{bend}}(\theta) = k_{\theta}( \theta - \theta_0 )^2,
166   \label{lipidEq:bendPot}
167   \end{equation}
168 < where $fix$ scales the strength of the harmonic well, and $fix$ is the
169 < angle between bond vectors $fix$ and $fix$.  The torsion potential is
170 < given by:
168 > where $k_{\theta}$ scales the strength of the harmonic well, and
169 > $\theta$ is the angle between bond vectors
170 > (Fig.~\ref{lipidFig:lipidModel}). In addition, we have placed a
171 > ``ghost'' bend on the phospholipid head. The ghost bend is a bend
172 > potential which keeps the dipole roughly perpendicular to the
173 > molecular body, where $\theta$ is now the angle the dipole makes with
174 > respect to the {\sc head}-$\text{{\sc ch}}_2$ bond vector
175 > (Fig.~\ref{lipidFig:ghostBend}). This bend mimics the hinge between
176 > the phosphatidyl part of the PC head group and the remainder of the
177 > molecule.  The torsion potential is given by:
178   \begin{equation}
179 < eq here
179 > V_{\text{torsion}}(\phi) =  
180 >        k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0.
181   \label{lipidEq:torsionPot}
182   \end{equation}
183   Here, the parameters $k_0$, $k_1$, $k_2$, and $k_3$ fit the cosine
184   power series to the desired torsion potential surface, and $\phi$ is
185 < the angle between bondvectors $fix$ and $fix$ along the vector $fix$
186 < (see Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as
187 < the Lennard-Jones potential are excluded for bead pairs involved in
188 < the same bond, bend, or torsion.  However, internal interactions not
189 < directly involved in a bonded pair are calculated.
185 > the angle the two end atoms have rotated about the middle bond
186 > (Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as the
187 > Lennard-Jones potential are excluded for atom pairs involved in the
188 > same bond, bend, or torsion.  However, long-range interactions for
189 > pairs of atoms not directly involved in a bond, bend, or torsion are
190 > calculated.
191  
192 + \begin{figure}
193 + \centering
194 + \includegraphics[width=0.5\linewidth]{ghostBendFig.eps}
195 + \caption[Depiction of the ``ghost'' bend]{The ``ghost'' bend is a bend potential added to restrain 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.}
196 + \label{lipidFig:ghostBend}
197 + \end{figure}
198  
199 + All simulations presented here use a two-chain lipid as pictured in
200 + Fig.~\ref{lipidFig:lipidModel}.  The chains are both eight beads long,
201 + and their mass and Lennard Jones parameters are summarized in
202 + Table~\ref{lipidTable:tcLJParams}. The magnitude of the dipole moment
203 + for the head bead is 10.6~Debye (approximately half the magnitude of
204 + the dipole on the PC head group\cite{Cevc87}), and the bend and
205 + torsion parameters are summarized in
206 + Table~\ref{lipidTable:tcBendParams} and
207 + \ref{lipidTable:tcTorsionParams}.
208 +
209 + \begin{table}
210 + \caption{THE LENNARD JONES PARAMETERS FOR THE TWO CHAIN PHOSPHOLIPIDS}
211 + \label{lipidTable:tcLJParams}
212 + \begin{center}
213 + \begin{tabular}{|l|c|c|c|c|}
214 + \hline
215 +     & mass (amu) & $\sigma$($\mbox{\AA}$)  & $\epsilon$ (kcal/mol) %
216 +        & $|\mathbf{\hat{\mu}}|$ (Debye) \\ \hline
217 + {\sc head} & 72  & 4.0 & 0.185 & 10.6 \\ \hline
218 + {\sc ch}\cite{Siepmann1998} & 13.02 & 4.0 & 0.0189 & 0.0 \\ \hline
219 + $\text{{\sc ch}}_2$\cite{Siepmann1998} & 14.03 & 3.95 & 0.18 & 0.0 \\ \hline
220 + $\text{{\sc ch}}_3$\cite{Siepmann1998} & 15.04 & 3.75 & 0.25 & 0.0 \\ \hline
221 + {\sc ssd}\cite{liu96:new_model} & 18.03 & 3.051 & 0.152 & 0.0 \\ \hline
222 + \end{tabular}
223 + \end{center}
224 + \end{table}
225 +
226 + \begin{table}
227 + \caption{BEND PARAMETERS FOR THE TWO CHAIN PHOSPHOLIPIDS}
228 + \label{lipidTable:tcBendParams}
229 + \begin{center}
230 + \begin{tabular}{|l|c|c|}
231 + \hline
232 +   & $k_{\theta}$ ( kcal/($\text{mol deg}^2$) ) & $\theta_0$ ( deg ) \\ \hline
233 + {\sc ghost}-{\sc head}-$\text{{\sc ch}}_2$ & 0.00177 & 129.78 \\ \hline
234 + $x$-{\sc ch}-$y$ & 58.84 & 112.0 \\ \hline
235 + $x$-$\text{{\sc ch}}_2$-$y$ & 58.84 & 114.0 \\ \hline
236 + \end{tabular}
237 + \begin{minipage}{\linewidth}
238 + \begin{center}
239 + \vspace{2mm}
240 + All alkane parameters are based off of those from TraPPE.\cite{Siepmann1998}
241 + \end{center}
242 + \end{minipage}
243 + \end{center}
244 + \end{table}
245 +
246 + \begin{table}
247 + \caption{TORSION PARAMETERS FOR THE TWO CHAIN PHOSPHOLIPIDS}
248 + \label{lipidTable:tcTorsionParams}
249 + \begin{center}
250 + \begin{tabular}{|l|c|c|c|c|}
251 + \hline
252 + All are in kcal/mol $\rightarrow$ & $k_3$ & $k_2$ & $k_1$ & $k_0$ \\ \hline
253 + $x$-{\sc ch}-$y$-$z$ & 3.3254 & -0.4215 & -1.686 & 1.1661 \\ \hline
254 + $x$-$\text{{\sc ch}}_2$-$\text{{\sc ch}}_2$-$y$ & 5.9602 & -0.568 & -3.802 & 2.1586 \\ \hline
255 + \end{tabular}
256 + \begin{minipage}{\linewidth}
257 + \begin{center}
258 + \vspace{2mm}
259 + All alkane parameters are based off of those from TraPPE.\cite{Siepmann1998}
260 + \end{center}
261 + \end{minipage}
262 + \end{center}
263 + \end{table}
264 +
265 +
266 + \section{\label{lipidSec:furtherMethod}Further Methodology}
267 +
268 + As mentioned previously, the water model used throughout these
269 + simulations was the {\sc ssd/e} model of Fennell and
270 + Gezelter,\cite{fennell04} earlier forms of this model can be found in
271 + Ichiye \emph{et
272 + al}.\cite{liu96:new_model,liu96:monte_carlo,chandra99:ssd_md} A
273 + discussion of the model can be found in Sec.~\ref{oopseSec:SSD}. As
274 + for the integration of the equations of motion, all simulations were
275 + performed in an orthorhombic periodic box with a thermostat on
276 + velocities, and an independent barostat on each Cartesian axis $x$,
277 + $y$, and $z$.  This is the $\text{NPT}_{xyz}$. integrator described in
278 + Sec.~\ref{oopseSec:integrate}. With $\tau_B = 1.5$~ps and $\tau_T =
279 + 1.2$~ps, the box volume stabilizes after 50~ps, and fluctuates about
280 + its equilibrium value by $\sim 0.6\%$, temperature fluctuations are
281 + about $\sim 1.4\%$ of their set value, and pressure fluctuations are
282 + the largest, varying as much as $\pm 250$~atm. However, such large
283 + fluctuations in pressure are typical for liquid state simulations.\cite{leach01:mm}
284 +
285 +
286 + \subsection{\label{lipidSec:ExpSetup}Experimental Setup}
287 +
288 + Two main classes of starting configurations were used in this research:
289 + random and ordered bilayers.  The ordered bilayer simulations were all
290 + started from an equilibrated bilayer configuration at 300~K. The original
291 + configuration for the first 300~K run was assembled by placing the
292 + phospholipids centers of mass on a planar hexagonal lattice.  The
293 + lipids were oriented with their principal axis perpendicular to the plane.
294 + The bottom leaf simply mirrored the top leaf, and the appropriate
295 + number of water molecules were then added above and below the bilayer.
296 +
297 + The random configurations took more work to generate.  To begin, a
298 + test lipid was placed in a simulation box already containing water at
299 + the intended density.  The water molecules were then tested against
300 + the lipid using a 5.0~$\mbox{\AA}$ overlap test with any atom in the
301 + lipid.  This gave an estimate for the number of water molecules each
302 + lipid would displace in a simulation box. A target number of water
303 + molecules was then defined which included the number of water
304 + molecules each lipid would displace, the number of water molecules
305 + desired to solvate each lipid, and a factor to pad the initial box
306 + with a few extra water molecules.
307 +
308 + Next, a cubic simulation box was created that contained at least the
309 + target number of water molecules in an FCC lattice (the lattice was for ease of
310 + placement).  What followed was a RSA simulation similar to those of
311 + Chapt.~\ref{chapt:RSA}. The lipids were sequentially given a random
312 + position and orientation within the box.  If a lipid's position caused
313 + atomic overlap with any previously placed lipid, its position and
314 + orientation were rejected, and a new random placement site was
315 + attempted. The RSA simulation proceeded until all phospholipids had
316 + been placed.  After placement of all lipid molecules, water
317 + molecules with locations that overlapped with the atomic coordinates
318 + of the lipids were removed.
319 +
320 + Finally, water molecules were removed at random until the desired water
321 + to lipid ratio was achieved.  The typical low final density for these
322 + initial configurations was not a problem, as the box shrinks to an
323 + appropriate size within the first 50~ps of a simulation under the
324 + NPTxyz integrator.
325 +
326 + \subsection{\label{lipidSec:Configs}Configurations}
327 +
328 + The first class of simulations were started from ordered bilayers. All
329 + configurations consisted of 60 lipid molecules with 30 lipids on each
330 + leaf, and were hydrated with 1620 {\sc ssd/e} molecules. The original
331 + configuration was assembled according to Sec.~\ref{lipidSec:ExpSetup}
332 + and simulated for a length of 10~ns at 300~K. The other temperature
333 + runs were started from a configuration 7~ns in to the 300~K
334 + simulation. Their temperatures were modified with the thermostatting
335 + algorithm in the NPTxyz integrator. All of the temperature variants
336 + were also run for 10~ns, with only the last 5~ns being used for
337 + accumulation of statistics.
338 +
339 + The second class of simulations were two configurations started from
340 + randomly dispersed lipids in a ``gas'' of water. The first
341 + ($\text{R}_{\text{I}}$) was a simulation containing 72 lipids with
342 + 1800 {\sc ssd/e} molecules simulated at 300~K. The second
343 + ($\text{R}_{\text{II}}$) was 90 lipids with 1350 {\sc ssd/e} molecules
344 + simulated at 350~K. Both simulations were integrated for more than
345 + 20~ns to observe whether our model is capable of spontaneous
346 + aggregation into known phospholipid macro-structures:
347 + $\text{R}_{\text{I}}$ into a bilayer, and $\text{R}_{\text{II}}$ into
348 + a inverted rod.
349 +
350 + \section{\label{lipidSec:resultsDis}Results and Discussion}
351 +
352 + \subsection{\label{lipidSec:densProf}Density Profile}
353 +
354 + Fig.~\ref{lipidFig:densityProfile} illustrates the densities of the
355 + atoms in the bilayer systems normalized by the bulk density as a
356 + function of distance from the center of the box. The profile is taken
357 + along the bilayer normal (in this case the $z$ axis). The first interesting point to note is the penetration of water into the membrane. Water penetrates about 5~$\mbox{\AA}$ into the bilayer, completely solvating the head groups. This is common in atomistic and some coarse grain simulations of phospholipid bilayers.\cite{Marrink01,marrink04,klein01} It is an indication that the water molecules are very attracted to the polar head region, yet there is still enough of a hydrophobic effect to exclude water from the inside of the bilayer.
358 +
359 + Another interesting point is the fluidity of the chains. Although the ends of the tails, the $\text{{\sc ch}}_3$ atoms, are mostly concentrated at the centers of the bilayers, they have a significant density around the head regions. This indicates that there is much freedom of movement in the chains of our model. Typical atomistic simulations of DPPC show the terminal groups concentrated at the center of the bilayer.\cite{marrink03:vesicles} This is most likely an indication that our chain lengths are too small, and given longer chains, the tail groups would stay more deeply buried in the bilayer.
360 +
361 + The last point to consider is the splitting in the density peak of the {\sc head} atom at 270~K. This implies  that there is some freezing of structure at this temperature. By 280~K, this feature is smoothed out, demonstrating a more fluid phase in the bilayer. Within the time scale of the simulation, the gel phase has not formed at 270~K, so this splitting in the peak is likely a glassy transition in the head groups, and could possibly indicate that we are simulating in a super cooled region of our phospholipid model.
362 +
363 + \begin{figure}
364 + \centering
365 + \includegraphics[width=\linewidth]{densityProfile.eps}
366 + \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.}
367 + \label{lipidFig:densityProfile}
368 + \end{figure}
369 +
370 +
371 + \subsection{\label{lipidSec:scd}$\text{S}_{\text{{\sc cd}}}$ Order Parameters}
372 +
373 + The $\text{S}_{\text{{\sc cd}}}$ order parameter is often reported in
374 + the experimental characterizations of phospholipids. It is obtained
375 + through deuterium NMR, and measures the ordering of the carbon
376 + deuterium bond in relation to the bilayer normal at various points
377 + along the chains. The order parameter has a range of $[1,-\frac{1}{2}]$. A value of 1
378 + implies full order aligned to the bilayer axis, 0 implies full
379 + disorder, and $-\frac{1}{2}$ implies full order perpendicular to the
380 + bilayer axis. The {\sc cd} bond vector for carbons near the head group
381 + are usually ordered perpendicular to the bilayer normal, with tails
382 + farther away tending toward disorder. This makes the order parameter
383 + negative for most carbons, and as such $|S_{\text{{\sc cd}}}|$ is more
384 + commonly reported than $S_{\text{{\sc cd}}}$.
385 +
386 + In our model, there are no explicit hydrogens, but
387 + the order parameter can be written in terms of the carbon ordering at
388 + each point in the chain:\cite{egberts88}
389 + \begin{equation}
390 + S_{\text{{\sc cd}}}  = \frac{2}{3}S_{xx} + \frac{1}{3}S_{yy},
391 + \label{lipidEq:scd1}
392 + \end{equation}
393 + where $S_{ij}$ is given by:
394 + \begin{equation}
395 + S_{ij} = \frac{1}{2}\Bigl\langle(3\cos\Theta_i\cos\Theta_j
396 +        - \delta_{ij})\Bigr\rangle.
397 + \label{lipidEq:scd2}
398 + \end{equation}
399 + Here, $\Theta_i$ is the angle the $i$th axis in the reference frame of
400 + the carbon atom makes with the bilayer normal. The brackets denote an
401 + average over time and molecules. The carbon atom axes are defined:
402 + \begin{itemize}
403 + \item $\mathbf{\hat{z}}$ is the vector from $C_{n-1}$ to $C_{n+1}$.
404 + \item $\mathbf{\hat{y}}$ is the vector that is perpendicular to $z$ and
405 + in the plane through $C_{n-1}$, $C_{n}$, and $C_{n+1}$.
406 + \item $\mathbf{\hat{x}}$ is the vector perpendicular to
407 + $\mathbf{\hat{y}}$ and $\mathbf{\hat{z}}$.
408 + \end{itemize}
409 + This assumes that the hydrogen atoms are always in a plane
410 + perpendicular to the $C_{n-1}-C_{n}-C_{n+1}$ plane.
411 +
412 + Fig.~\ref{lipidFig:scdFig} shows the $S_{\text{{\sc cd}}}$ order
413 + parameters for the bilayer system at 300~K. There is no appreciable
414 + difference in the plots for the various temperatures, however, there
415 + is a larger difference between our model's ordering, and the
416 + experimentally observed ordering of DMPC. As our values are closer to
417 + $-\frac{1}{2}$, this implies more ordering perpendicular to the normal
418 + than in a real system. This is due to the model having only one carbon
419 + group separating the chains from the top of the lipid. In DMPC, with
420 + the flexibility inherent in a multiple atom head group, as well as a
421 + glycerol linkage between the head group and the acyl chains, there is
422 + more loss of ordering by the point when the chains start. Also, there is more ordering in the model due to the our assumptions about the locations of the hydrogen atoms. Our method assumes a rigid location for each hydrogen atom based on the carbon positions. This does not allow for any small fluctuations in their positions that would be inherent in an atomistic simulation or in experiments. These small fluctuations would serve to lower the ordering measured in the $S_{\text{{\sc cd}}}$.
423 +
424 + \begin{figure}
425 + \centering
426 + \includegraphics[width=\linewidth]{scdFig.eps}
427 + \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.}
428 + \label{lipidFig:scdFig}
429 + \end{figure}
430 +
431 + \subsection{\label{lipidSec:p2Order}$P_2$ Order Parameter}
432 +
433 + The $P_2$ order parameter allows us to measure the amount of
434 + directional ordering that exists in the bodies of the molecules making
435 + up the bilayer. Each lipid molecule can be thought of as a cylindrical
436 + rod with the head group at the top. If all of the rods are perfectly
437 + aligned, the $P_2$ order parameter will be $1.0$. If the rods are
438 + completely disordered, the $P_2$ order parameter will be 0. For a
439 + collection of unit vectors pointing along the principal axes of the
440 + rods, the $P_2$ order parameter can be solved via the following
441 + method.\cite{zannoni94}
442 +
443 + Define an ordering tensor $\overleftrightarrow{\mathsf{Q}}$, such that,
444 + \begin{equation}
445 + \overleftrightarrow{\mathsf{Q}} = \frac{1}{N}\sum_i^N %
446 +        \begin{pmatrix} %
447 +        u_{ix}u_{ix}-\frac{1}{3} & u_{ix}u_{iy} & u_{ix}u_{iz} \\
448 +        u_{iy}u_{ix} & u_{iy}u_{iy}-\frac{1}{3} & u_{iy}u_{iz} \\
449 +        u_{iz}u_{ix} & u_{iz}u_{iy} & u_{iz}u_{iz}-\frac{1}{3} %
450 +        \end{pmatrix},
451 + \label{lipidEq:po1}
452 + \end{equation}
453 + where the $u_{i\alpha}$ is the $\alpha$ element of the unit vector
454 + $\mathbf{\hat{u}}_i$, and the sum over $i$ averages over the whole
455 + collection of unit vectors. This allows the tensor to be written:
456 + \begin{equation}
457 + \overleftrightarrow{\mathsf{Q}} = \frac{1}{N}\sum_i^N \biggl[
458 +        \mathbf{\hat{u}}_i \otimes \mathbf{\hat{u}}_i
459 +        - \frac{1}{3} \cdot \mathsf{1} \biggr].
460 + \label{lipidEq:po2}
461 + \end{equation}
462 +
463 + After constructing the tensor, diagonalizing
464 + $\overleftrightarrow{\mathsf{Q}}$ yields three eigenvalues and
465 + eigenvectors. The eigenvector associated with the largest eigenvalue,
466 + $\lambda_{\text{max}}$, is the director axis  for the system of unit
467 + vectors. The director axis is the average direction all of the unit vectors
468 + are pointing. The $P_2$ order parameter is then simply
469 + \begin{equation}
470 + \langle P_2 \rangle = \frac{3}{2}\lambda_{\text{max}}.
471 + \label{lipidEq:po3}
472 + \end{equation}
473 +
474 + Table~\ref{lipidTab:blSummary} summarizes the $P_2$ values for the
475 + bilayers, as well as for the dipole orientations. The unit vector for the
476 + lipid molecules was defined by finding the moment of inertia for each
477 + lipid, then setting $\mathbf{\hat{u}}$ to point along the axis of
478 + minimum inertia (the long axis). For the {\sc head} atoms, the unit vector simply
479 + pointed in the same direction as the dipole moment. For the lipid
480 + molecules, the ordering was consistent across all temperatures, with
481 + the director pointed along the $z$ axis of the box. More
482 + interestingly, is the high degree of ordering the dipoles impose on
483 + the {\sc head} atoms. The directors for the dipoles themselves
484 + consistently pointed along the plane of the bilayer, with head groups lining up in rows of alternating alignment. The ordering implies that the dipole interaction is a little too strong, or that perhaps the dipoles are allowed to approach each other a bit too closely. A possible change in future models would alter the size or shape of the head group to discourage too rigid ordering of the dipoles.
485 +
486 + \begin{table}
487 + \caption{BILAYER STRUCTURAL PROPERTIES AS A FUNCTION OF TEMPERATURE}
488 + \label{lipidTab:blSummary}
489 + \begin{center}
490 + \begin{tabular}{|c|c|c|c|c|}
491 + \hline
492 + Temperature (K) & $\langle L_{\perp}\rangle$ ($\mbox{\AA}$) & %
493 +        $\langle A_{\parallel}\rangle$ ($\mbox{\AA}^2$) & %
494 +        $\langle P_2\rangle_{\text{Lipid}}$ & %
495 +        $\langle P_2\rangle_{\text{{\sc head}}}$ \\ \hline
496 + 270 & 18.1 & 58.1 & 0.253 & 0.494 \\ \hline
497 + 275 & 17.2 & 56.7 & 0.295 & 0.514 \\ \hline
498 + 277 & 16.9 & 58.0 & 0.301 & 0.541 \\ \hline
499 + 280 & 17.4 & 58.0 & 0.274 & 0.488 \\ \hline
500 + 285 & 16.9 & 57.6 & 0.270 & 0.616 \\ \hline
501 + 290 & 17.0 & 57.6 & 0.263 & 0.534 \\ \hline
502 + 293 & 17.5 & 58.0 & 0.227 & 0.643 \\ \hline
503 + 300 & 16.9 & 57.6 & 0.315 & 0.536 \\ \hline
504 + \end{tabular}
505 + \end{center}
506 + \end{table}
507 +
508 + \subsection{\label{lipidSec:miscData}Further Structural Data}
509 +
510 + Also summarized in Table~\ref{lipidTab:blSummary}, are the bilayer
511 + thickness ($\langle L_{\perp}\rangle$) and area per lipid ($\langle
512 + A_{\parallel}\rangle$). The bilayer thickness was measured from the
513 + peak to peak {\sc head} atom distance in the density profiles. The
514 + area per lipid data compares favorably with values typically seen for
515 + DMPC (60.0~$\mbox{\AA}^2$ at 303~K)\cite{petrache00}. Although our
516 + values are lower this is most likely due to the shorter chain length
517 + of our model (8 versus 14 for DMPC).
518 +
519 + \subsection{\label{lipidSec:diffusion}Lateral Diffusion Constants}
520 +
521 + The lateral diffusion constant, $D_L$, is the constant characterizing
522 + the diffusive motion of the lipid molecules within the plane of the bilayer. It
523 + is given by the following Einstein relation:\cite{allen87:csl}
524 + \begin{equation}
525 + D_L = \lim_{t\rightarrow\infty}\frac{1}{4t}\langle |\mathbf{r}(t)
526 +        - \mathbf{r}(0)|^2\rangle,
527 + \end{equation}
528 + where $\mathbf{r}(t)$ is the $xy$ position of the lipid at time $t$
529 + (assuming the $z$-axis is parallel to the bilayer normal). Calculating the $D_L$ involves first plotting the mean square displacement,  $\langle |\mathbf{r}(t) - \mathbf{r}(0)|^2\rangle$, finding the slope at long times, and dividing the slope by 4 to give the diffusion constant (Fig.~\ref{lipidFig:msdFig}). When finding the slope only the 1~ns to 3~ns times are considered. Points at the longer times are not included due to the lack of good statistics at long time intervals.
530 +
531 + Fig.~\ref{lipidFig:diffusionFig} shows the lateral diffusion constants
532 + as a function of temperature. There is a definite increase in the
533 + lateral diffusion with higher temperatures, which is exactly what one
534 + would expect with greater fluidity of the chains. However, the
535 + diffusion constants are two orders of magnitude larger than those
536 + typical of DPPC ($\sim10^{-9}\text{cm}^2/\text{s}$ over this temperature range).\cite{Cevc87} This is what one would expect as the DPPC
537 + molecule is sterically larger and heavier than our model, indicating that further modifications to the model should increase the lengths of the tail chains, and perhaps explore larger, more massive head groups. In contrast, the diffusion constant of
538 + the {\sc ssd} water, $9.84\times 10^{-6}\,\text{cm}^2/\text{s}$, is
539 + reasonably close to the bulk water diffusion constant ($2.2999\times
540 + 10^{-5}\,\text{cm}^2/\text{s}$).\cite{Holz00}
541 +
542 + \begin{figure}
543 + \centering
544 + \includegraphics[width=\linewidth]{msdFig.eps}
545 + \caption[Lateral mean square displacement for the phospholipid at 300~K]{This is a representative lateral mean square displacement for the center of mass motion of the phospholipid model. This particular example is from the 300~K simulation. The box is drawn about the region used in the calculation of the diffusion constant.}
546 + \label{lipidFig:msdFig}
547 + \end{figure}
548 +
549 + \begin{figure}
550 + \centering
551 + \includegraphics[width=\linewidth]{diffusionFig.eps}
552 + \caption[The lateral diffusion constants versus temperature]{The lateral diffusion constants for the bilayers as a function of temperature.}
553 + \label{lipidFig:diffusionFig}
554 + \end{figure}
555 +
556 + \subsection{\label{lipidSec:randBilayer}Bilayer Aggregation}
557 +
558 + A very important accomplishment for our model is its ability to
559 + spontaneously form bilayers from a randomly dispersed starting
560 + configuration. Fig.~\ref{lipidFig:blImage} shows an image sequence for
561 + the bilayer aggregation. After 1.0~ns, bulk aggregation has occured. By 5.0~ns, the basic bilayer aggregation can be seen, however there is a vertical lipid bridge connecting the periodic image of the bilayer to itself. At 15.0~ns, the lipid bridge has finally broken up, and the lipid molecules are starting to re-incorporate themselves into the bilayer. A water pore is still present through the membrane. In the last frame at 42.0~ns, the water pore is still present, although does show some signs of rejoining the bulk water section. These behaviors are typical for coarse grain model simulations, which can have lipid bridge lifetimes of up to 20~ns, and water pores typically lasting 3 to 25~ns.\cite{marrink04}
562 +
563 + \begin{figure}
564 + \centering
565 + \includegraphics[width=\linewidth]{bLayerImage.eps}
566 + \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.}
567 + \label{lipidFig:blImage}
568 + \end{figure}
569 +
570 + \subsection{\label{lipidSec:randIrod}Inverted Rod Aggregation}
571 +
572 + Fig.~\ref{lipidFig:iRimage} shows a second aggregation sequence
573 + simulated in this research. Here the fraction of water had been
574 + significantly decreased to observe how the model would respond. After
575 + 1.5~ns, The main body of water in the system has already collected
576 + into a central water channel. By 10.0~ns, the channel has widened
577 + slightly, but there are still many water molecules permeating the
578 + lipid macro-structure. At 35.0~ns, the central water channel has
579 + stabilized and several smaller water channels have been absorbed by
580 + the main one. However, there is still an appreciable water
581 + concentration throughout the lipid structure.
582 +
583 + \begin{figure}
584 + \centering
585 + \includegraphics[width=\linewidth]{iRodImage.eps}
586 + \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}.}
587 + \label{lipidFig:iRimage}
588 + \end{figure}
589 +
590 + \section{\label{lipidSec:Conclusion}Conclusion}
591 +
592 + We have presented a simple unified-atom phospholipid model capable of
593 + spontaneous aggregation into a bilayer and an inverted rod
594 + structure. The time scales of the macro-molecular aggregations are
595 + approximately 24~ns, with water permeation of the structures persisting for times longer than the scope of both aggregations. In addition the model's properties have been
596 + explored over a range of temperatures through prefabricated
597 + bilayers. No freezing transition is seen in the temperature range of
598 + our current simulations. However, structural information from 270~K
599 + may imply that a freezing event is on a much longer time scale than
600 + that explored in this current research. Further studies of this system
601 + could extend the time length of the simulations at the low
602 + temperatures to observe whether lipid crystallization can occur within
603 + the framework of this model.
604 +
605 + Potential problems that may be obstacles in further research, is the
606 + lack of detail in the head region. As the chains are almost directly
607 + attached to the {\sc head} atom, there is no buffer between the
608 + actions of the head group and the tails. Another disadvantage of the
609 + model is the dipole approximation will alter results when details
610 + concerning a charged solute's interactions with the bilayer. However,
611 + it is important to keep in mind that the dipole approximation can be
612 + kept an advantage by examining solutes that do not require point
613 + charges, or at the least, require only dipole approximations
614 + themselves. Other advantages of the model include the ability to alter
615 + the size of the unified-atoms so that the size of the lipid can be
616 + increased without adding to the number of interactions in the
617 + system. However, what sets our model apart from other current
618 + simplified models,\cite{goetz98,marrink04} is the information gained
619 + by observing the ordering of the head groups dipole's in relation to
620 + each other and the solvent without the need for point charges and the
621 + Ewald sum.

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