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4  
5   \section{\label{lipidSec:Intro}Introduction}
6  
7 < \section{\label{lipidSec:Methods}Methods}
7 > In the past 10 years, computer speeds have allowed for the atomistic
8 > simulation of phospholipid bilayers.  These simulations have ranged
9 > from simulation of the gel phase ($L_{\beta}$) of
10 > dipalmitoylphosphatidylcholine (DPPC),\cite{lindahl00} to the
11 > spontaneous aggregation of DPPC molecules into fluid phase
12 > ($L_{\alpha}$) bilayers.\cite{marrink01} With the exception of a few
13 > ambitious
14 > simulations,\cite{marrink01:undulation,marrink:2002,lindahl00} most
15 > investigations are limited to 64 to 256
16 > phospholipids.\cite{lindahl00,sum:2003,venable00,gomez:2003,smondyrev:1999,marrink01}
17 > This is due to the expense of the computer calculations involved when
18 > performing these simulations.  To properly hydrate a bilayer, one
19 > typically needs 25 water molecules for every lipid, bringing the total
20 > number of atoms simulated to roughly 8,000 for a system of 64 DPPC
21 > molecules. Added to the difficulty is the electrostatic nature of the
22 > phospholipid head groups and water, requiring the computationally
23 > expensive Ewald sum or its slightly faster derivative particle mesh
24 > Ewald sum.\cite{nina:2002,norberg:2000,patra:2003} These factors all
25 > limit the potential size and time lengths of bilayer simulations.
26  
27 < \subsection{\label{lipidSec:lipidMedel}The Lipid Model}
27 > Unfortunately, much of biological interest happens on time and length
28 > scales infeasible with current simulation. One such example is the
29 > observance of a ripple phase ($P_{\beta^{\prime}}$) between the
30 > $L_{\beta}$ and $L_{\alpha}$ phases of certain phospholipid
31 > bilayers.\cite{katsaras00,sengupta00} These ripples are shown to
32 > have periodicity on the order of 100-200~$\mbox{\AA}$. A simulation on
33 > this length scale would have approximately 1,300 lipid molecules with
34 > an additional 25 water molecules per lipid to fully solvate the
35 > bilayer. A simulation of this size is impractical with current
36 > atomistic models.
37  
38 < \begin{figure}
38 > Another class of simulations to consider, are those dealing with the
39 > diffusion of molecules through a bilayer.  Due to the fluid-like
40 > properties of a lipid membrane, not all diffusion across the membrane
41 > happens at pores.  Some molecules of interest may incorporate
42 > themselves directly into the membrane.  Once here, they may possess an
43 > appreciable waiting time (on the order of 10's to 100's of
44 > nanoseconds) within the bilayer. Such long simulation times are
45 > difficulty to obtain when integrating the system with atomistic
46 > detail.
47  
48 < \caption{Schematic diagram of the single chain phospholipid model}
48 > Addressing 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 $\frac{1}{r}$), eliminating the
72 > 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 +
82 + The following is an outline of this chapter.
83 + Sec.~\ref{lipidSec:Methods} is an introduction to the lipid model
84 + used in these simulations.  As well as clarification about the water
85 + model and integration techniques.  The various simulation setups
86 + explored in this research are outlined in
87 + Sec.~\ref{lipidSec:ExpSetup}. Sec.~\ref{lipidSec:Results} and
88 + Sec.~\ref{lipidSec:Discussion} give a summary of the results and
89 + interpretation of those results respectively.  Finally, the
90 + conclusions of this chapter are presented in
91 + Sec.~\ref{lipidSec:Conclusion}.
92 +
93 + \section{\label{lipidSec:Methods}Methods}
94 +
95 + \subsection{\label{lipidSec:lipidModel}The Lipid Model}
96 +
97 + \begin{figure}
98 + \centering
99 + \includegraphics[width=\linewidth]{twoChainFig.eps}
100 + \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.}
101 + \label{lipidFig:lipidModel}
102   \end{figure}
103  
104   The phospholipid model used in these simulations is based on the
105   design illustrated in Fig.~\ref{lipidFig:lipidModel}.  The head group
106   of the phospholipid is replaced by a single Lennard-Jones sphere of
107 < diameter $fix$, with $fix$ scaling the well depth of its van der Walls
108 < interaction.  This sphere also contains a single dipole of magnitude
109 < $fix$, where $fix$ can be varied to mimic the charge separation of a
107 > diameter $\sigma_{\text{head}}$, with $\epsilon_{\text{head}}$ scaling
108 > the well depth of its van der Walls interaction.  This sphere also
109 > contains a single dipole of magnitude $|\boldsymbol{\mu}|$, where
110 > $|\boldsymbol{\mu}|$ can be varied to mimic the charge separation of a
111   given phospholipid head group.  The atoms of the tail region are
112   modeled by unified atom beads.  They are free of partial charges or
113   dipoles, containing only Lennard-Jones interaction sites at their
114   centers of mass.  As with the head groups, their potentials can be
115 < scaled by $fix$ and $fix$.
115 > scaled by $\sigma_{\text{tail}}$ and $\epsilon_{\text{tail}}$.
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 >        \frac{3(\boldsymbol{\hat{u}}_i \cdot \mathbf{r}_{ij}) %
133 >                (\boldsymbol{\hat{u}}_j \cdot \mathbf{r}_{ij}) }
134 >                {r^{2}_{ij}} \biggr]
135   \label{lipidEq:dipolePot}
136   \end{equation}
137   Where $V_{\text{LJ}}$ is the Lennard-Jones potential and
# Line 50 | Line 146 | vector of $\boldsymbol{\Omega}_i$.
146   $i$, and $\boldsymbol{\hat{u}}_i$ is the standard unit orientation
147   vector of $\boldsymbol{\Omega}_i$.
148  
149 < The model also allows for the bonded interactions of bonds, bends, and
150 < torsions.  The bonds between two beads on a chain are of fixed length,
151 < and are maintained according to the {\sc rattle} algorithm. \cite{fix}
149 > The model also allows for the bonded interactions bends, and torsions.
150 > The bond between two beads on a chain is of fixed length, and is
151 > maintained according to the {\sc rattle} algorithm.\cite{andersen83}
152   The bends are subject to a harmonic potential:
153   \begin{equation}
154 < eq here
154 > V_{\text{bend}}(\theta) = k_{\theta}( \theta - \theta_0 )^2
155   \label{lipidEq:bendPot}
156   \end{equation}
157 < where $fix$ scales the strength of the harmonic well, and $fix$ is the
158 < angle between bond vectors $fix$ and $fix$.  The torsion potential is
159 < given by:
157 > where $k_{\theta}$ scales the strength of the harmonic well, and
158 > $\theta$ is the angle between bond vectors
159 > (Fig.~\ref{lipidFig:lipidModel}). In addition, we have placed a
160 > ``ghost'' bend on the phospholipid head. The ghost bend adds a
161 > potential to keep the dipole pointed along the bilayer surface, where
162 > $theta$ is now the angle the dipole makes with respect to the {\sc
163 > head}-$\text{{\sc ch}}_2$ bond vector. The torsion potential is given
164 > by:
165   \begin{equation}
166 < eq here
166 > V_{\text{torsion}}(\phi) =  
167 >        k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0
168   \label{lipidEq:torsionPot}
169   \end{equation}
170   Here, the parameters $k_0$, $k_1$, $k_2$, and $k_3$ fit the cosine
171   power series to the desired torsion potential surface, and $\phi$ is
172 < the angle between bondvectors $fix$ and $fix$ along the vector $fix$
173 < (see Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as
174 < the Lennard-Jones potential are excluded for bead pairs involved in
175 < the same bond, bend, or torsion.  However, internal interactions not
172 > the angle the two end atoms have rotated about the middle bond
173 > (Fig.:\ref{lipidFig:lipidModel}).  Long range interactions such as the
174 > Lennard-Jones potential are excluded for atom pairs involved in the
175 > same bond, bend, or torsion.  However, internal interactions not
176   directly involved in a bonded pair are calculated.
177  
178 + All simulations presented here use a two chained lipid as pictured in
179 + Fig.~\ref{lipidFig:lipidModel}.  The chains are both eight beads long,
180 + and their mass and Lennard Jones parameters are summarized in
181 + Table~\ref{lipidTable:tcLJParams}. The magnitude of the dipole moment
182 + for the head bead is 10.6~Debye, and the bend and torsion parameters
183 + are summarized in Table~\ref{lipidTable:tcBendParams} and
184 + \ref{lipidTable:tcTorsionParams}.
185  
186 + \begin{table}
187 + \caption{The Lennard Jones Parameters for the two chain phospholipids.}
188 + \label{lipidTable:tcLJParams}
189 + \begin{center}
190 + \begin{tabular}{|l|c|c|c|}
191 + \hline
192 +     & mass (amu) & $\sigma$($\mbox{\AA}$)  & $\epsilon$ (kcal/mol) \\ \hline
193 + {\sc head} & 72  & 4.0 & 0.185 \\ \hline
194 + {\sc ch}\cite{Siepmann1998} & 13.02 & 4.0 & 0.0189 \\ \hline
195 + $\text{{\sc ch}}_2$\cite{Siepmann1998} & 14.03 & 3.95 & 0.18 \\ \hline
196 + $\text{{\sc ch}}_3$\cite{Siepmann1998} & 15.04 & 3.75 & 0.25 \\ \hline
197 + {\sc ssd}\cite{liu96:new_model} & 18.03 & 3.051 & 0.152 \\ \hline
198 + \end{tabular}
199 + \end{center}
200 + \end{table}
201 +
202 + \begin{table}
203 + \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}}
204 + \label{lipidTable:tcBendParams}
205 + \begin{center}
206 + \begin{tabular}{|l|c|c|}
207 + \hline
208 +   & $k_{\theta}$ ( kcal/($\text{mol deg}^2$) ) & $\theta_0$ ( deg ) \\ \hline
209 + {\sc ghost}-{\sc head}-$\text{{\sc ch}}_2$ & 0.00177 & 129.78 \\ \hline
210 + $x$-{\sc ch}-$y$ & 58.84 & 112.0 \\ \hline
211 + $x$-$\text{{\sc ch}}_2$-$y$ & 58.84 & 114.0 \\ \hline
212 + \end{tabular}
213 + \end{center}
214 + \end{table}
215 +
216 + \begin{table}
217 + \caption[Torsion Parameters for the two chain phospholipids]{Torsion Parameters for the two chain phospholipids. Alkane parameters based on TraPPE.\cite{Siepmann1998}}
218 + \label{lipidTable:tcTorsionParams}
219 + \begin{center}
220 + \begin{tabular}{|l|c|c|c|c|}
221 + \hline
222 + All are in kcal/mol $\rightarrow$ & $k_3$ & $k_2$ & $k_1$ & $k_0$ \\ \hline
223 + $x$-{\sc ch}-$y$-$z$ & 3.3254 & -0.4215 & -1.686 & 1.1661 \\ \hline
224 + $x$-$\text{{\sc ch}}_2$-$\text{{\sc ch}}_2$-$y$ & 5.9602 & -0.568 & -3.802 & 2.1586 \\ \hline
225 + \end{tabular}
226 + \end{center}
227 + \end{table}
228 +
229 +
230 + \section{\label{lipidSec:furtherMethod}Further Methodology}
231 +
232 + As mentioned previously, the water model used throughout these
233 + simulations was the {\sc ssd} model of
234 + Ichiye.\cite{liu96:new_model,liu96:monte_carlo,chandra99:ssd_md} A
235 + discussion of the model can be found in Sec.~\ref{oopseSec:SSD}. As
236 + for the integration of the equations of motion, all simulations were
237 + performed in an orthorhombic periodic box with a thermostat on
238 + velocities, and an independent barostat on each Cartesian axis $x$,
239 + $y$, and $z$.  This is the $\text{NPT}_{xyz}$. ensemble described in
240 + Sec.~\ref{oopseSec:Ensembles}.
241 +
242 +
243 + \subsection{\label{lipidSec:ExpSetup}Experimental Setup}
244 +
245 + Two main starting configuration classes were used in this research:
246 + random and ordered bilayers.  The ordered bilayer starting
247 + configurations were all started from an equilibrated bilayer at
248 + 300~K. The original configuration for the first 300~K run was
249 + assembled by placing the phospholipids centers of mass on a planar
250 + hexagonal lattice.  The lipids were oriented with their long axis
251 + perpendicular to the plane.  The second leaf simply mirrored the first
252 + leaf, and the appropriate number of waters were then added above and
253 + below the bilayer.
254 +
255 + The random configurations took more work to generate.  To begin, a
256 + test lipid was placed in a simulation box already containing water at
257 + the intended density.  The waters were then tested for overlap with
258 + the lipid using a 5.0~$\mbox{\AA}$ buffer distance.  This gave an
259 + estimate for the number of waters each lipid would displace in a
260 + simulation box. A target number of waters was then defined which
261 + included the number of waters each lipid would displace, the number of
262 + waters desired to solvate each lipid, and a fudge factor to pad the
263 + initialization.
264 +
265 + Next, a cubic simulation box was created that contained at least the
266 + target number of waters in an FCC lattice (the lattice was for ease of
267 + placement).  What followed was a RSA simulation similar to those of
268 + Chapt.~\ref{chapt:RSA}. The lipids were sequentially given a random
269 + position and orientation within the box.  If a lipid's position caused
270 + atomic overlap with any previously adsorbed lipid, its position and
271 + orientation were rejected, and a new random adsorption site was
272 + attempted. The RSA simulation proceeded until all phospholipids had
273 + been adsorbed.  After adsorption, all water molecules with locations
274 + that overlapped with the atomic coordinates of the lipids were
275 + removed.
276 +
277 + Finally, water molecules were removed one by one at random until the
278 + desired number of waters per lipid was reached.  The typical low final
279 + density for these initial configurations was not a problem, as the box
280 + would shrink to an appropriate size within the first 50~ps of a
281 + simulation in the $\text{NPT}_{xyz}$ ensemble.
282 +
283 + \subsection{\label{lipidSec:Configs}The simulation configurations}
284 +
285 + Table ~\ref{lipidTable:simNames} summarizes the names and important
286 + details of the simulations.  The B set of simulations were all started
287 + in an ordered bilayer and observed over a period of 10~ns. Simulation
288 + RL was integrated for approximately 20~ns starting from a random
289 + configuration as an example of spontaneous bilayer aggregation.
290 + Lastly, simulation RH was also started from a random configuration,
291 + but with a lesser water content and higher temperature to show the
292 + spontaneous aggregation of an inverted hexagonal lamellar phase.

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