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# Line 7 | Line 7 | dipalmitoylphosphatidylcholine (DPPC), \cite{Lindahl:2
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{Lindahl:2000} to the
10 > dipalmitoylphosphatidylcholine (DPPC),\cite{lindahl00} to the
11   spontaneous aggregation of DPPC molecules into fluid phase
12 < ($L_{\alpha}$ bilayers. \cite{Marrinck:2001} With the exception of a
13 < few ambitious
14 < simulations,\cite{Marrinch:2001b,Marrinck:2002,Lindahl:2000} most
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{Lindal:2000,Sum:2003,Venable:2000,Gomez:2003,Smondyrev:1999,Marrinck:2001a}
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 difficluty is the electrostatic nature of the
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 lenghts of bilayer simulations.
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   Unfortunately, much of biological interest happens on time and length
28 < scales unfeasible with current simulation. One such example is the
29 < observance of a ripple phase ($P_{\beta'}$) between the $L_{\beta}$
30 < and $L_{\alpha}$ phases of certain phospholipid
31 < bilayers.\cite{Katsaras:2000,Sengupta:2000} These ripples are shown to
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
# Line 41 | Line 41 | nanoseconds) within the bilayer.  Such long simulation
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
44 > nanoseconds) within the bilayer. Such long simulation times are
45   difficulty to obtain when integrating the system with atomistic
46   detail.
47  
48   Addressing these issues, several schemes have been proposed.  One
49 < approach by Goetz and Liposky\cite{Goetz:1998} is to model the entire
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{Marrinck:2004}~ uses a
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
# Line 63 | Line 63 | phopholipids, allowing for the ability to scale the pa
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 < phopholipids, allowing for the ability to scale the parameters to
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 electrosttaic nature of the
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
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 ({\scssd})
76 < water \cite{Liu:1996a} relies on the dipole for long range
77 < electrostatic effects, butalso contains a short range correction for
78 < hydrogen bonding. In this way the systems in this research mimic the
79 < entropic contribution to the hydrophobic effect due to hydrogen-bond
80 < network deformation around a non-polar entity, \emph{i.e.}~ the
81 < phospholipid.
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{lipoidSec:Methods} is an introduction to the lipid model
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
# Line 93 | Line 92 | Sec.~\ref{lipidSec:Conclusion}.
92  
93   \section{\label{lipidSec:Methods}Methods}
94  
96
97
95   \subsection{\label{lipidSec:lipidModel}The Lipid Model}
96  
97   \begin{figure}
98 <
99 < \caption{Schematic diagram of the single chain phospholipid model}
100 <
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}
105
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 139 | Line 146 | The model also allows for the bonded interactions of b
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:twochain}.  The chains are both eight beads long,
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:teBTParams}.
183 > are summarized in Table~\ref{lipidTable:tcBendParams} and
184 > \ref{lipidTable:tcTorsionParams}.
185  
186 < \section{label{lipidSec:furtherMethod}Further Methodology}
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 {\scssd} model of
234 < Ichiye.\cite{liu:1996a,Liu:1996b,Chandra:1999} A discussion of the
235 < model can be found in Sec.~\ref{oopseSec:SSD}. As for the integration
236 < of the equations of motion, all simulations were performed in an
237 < orthorhombic periodic box with a thermostat on velocities, and an
238 < independent barostat on each cartesian axis $x$, $y$, and $z$.  This
239 < is the $\text{NPT}_{xyz}$. ensemble described in Sec.~\ref{oopseSec:Ensembles}.
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}
# Line 225 | Line 284 | in an ordered bilayer and observed over a period of 10
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. Simulution
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.
292 > spontaneous aggregation of an inverted hexagonal lamellar phase.

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