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# Line 11 | Line 11 | ns.[14] In the second solvation shell, some water mole
11   small number of water molecules are strongly held around the
12   different parts of the headgroup and are oriented by them with
13   residence times for the first hydration shell being around 0.5 - 1
14 < ns.[14] In the second solvation shell, some water molecules are
15 < weakly bound, but are still essential for determining the properties
16 < of the system. Transport of various molecular species into living
17 < cells is one of the major functions of membranes. A thorough
18 < understanding of the underlying molecular mechanism for solute
19 < diffusion is crucial to the further studies of other related
14 > ns\cite{Ho1992}. In the second solvation shell, some water molecules
15 > are weakly bound, but are still essential for determining the
16 > properties of the system. Transport of various molecular species
17 > into living cells is one of the major functions of membranes. A
18 > thorough understanding of the underlying molecular mechanism for
19 > solute diffusion is crucial to the further studies of other related
20   biological processes. All transport across cell membranes takes
21   place by one of two fundamental processes: Passive transport is
22   driven by bulk or inter-diffusion of the molecules being transported
# Line 26 | Line 26 | to be exposed to the aqueous environment.[18] A number
26   translocation of phospholipids across membrane bilayers requires the
27   hydrophilic head of the phospholipid to pass through the highly
28   hydrophobic interior of the membrane, and for the hydrophobic tails
29 < to be exposed to the aqueous environment.[18] A number of studies
30 < indicate that the flipping of phospholipids occurs rapidly in the
31 < eukaryotic ER and the bacterial cytoplasmic membrane via a
32 < bi-directional, facilitated diffusion process requiring no metabolic
33 < energy input. Another system of interest would be the distribution
34 < of sites occupied by inhaled anesthetics in membrane. Although the
35 < physiological effects of anesthetics have been extensively studied,
36 < the controversy over their effects on lipid bilayers still
37 < continues. Recent deuterium NMR measurements on halothane in POPC
38 < lipid bilayers suggest the anesthetics are primarily located at the
39 < hydrocarbon chain region.[16] Infrared spectroscopy experiments
40 < suggest that halothane in DMPC lipid bilayers lives near the
41 < membrane/water interface. [17]
29 > to be exposed to the aqueous environment\cite{Sasaki2004}. A number
30 > of studies indicate that the flipping of phospholipids occurs
31 > rapidly in the eukaryotic ER and the bacterial cytoplasmic membrane
32 > via a bi-directional, facilitated diffusion process requiring no
33 > metabolic energy input. Another system of interest would be the
34 > distribution of sites occupied by inhaled anesthetics in membrane.
35 > Although the physiological effects of anesthetics have been
36 > extensively studied, the controversy over their effects on lipid
37 > bilayers still continues. Recent deuterium NMR measurements on
38 > halothane in POPC lipid bilayers suggest the anesthetics are
39 > primarily located at the hydrocarbon chain region\cite{Baber1995}.
40 > Infrared spectroscopy experiments suggest that halothane in DMPC
41 > lipid bilayers lives near the membrane/water
42 > interface\cite{Lieb1982}.
43  
44 + Molecular dynamics simulations have proven to be a powerful tool for
45 + studying the functions of biological systems, providing structural,
46 + thermodynamic and dynamical information. Unfortunately, much of
47 + biological interest happens on time and length scales well beyond
48 + the range of current simulation technologies. Several schemes are
49 + proposed in this chapter to overcome these difficulties.
50  
51 < \section{\label{lipidSection:model}Model}
51 > \section{\label{lipidSection:model}Model and Methodology}
52  
53 < \section{\label{lipidSection:methods}Methods}
53 > \subsection{\label{lipidSection:SSD}The Soft Sticky Dipole Water Model}
54  
55 + In a typical bilayer simulation, the dominant portion of the
56 + computation time will be spent calculating water-water interactions.
57 + As an efficient solvent model, the Soft Sticky Dipole (SSD) water
58 + model\cite{Chandra1999,Fennell2004} is used as the explicit solvent
59 + in this project. Unlike other water models which have partial
60 + charges distributed throughout the whole molecule, the SSD water
61 + model consists of a single site which is a Lennard-Jones interaction
62 + site, as well as a point dipole. A tetrahedral potential is added to
63 + correct for hydrogen bonding. The following equation describes the
64 + interaction between two water molecules:
65 + \[
66 + V_{SSD}  = V_{LJ} (r_{ij} ) + V_{dp} (r_{ij} ,\Omega _i ,\Omega _j )
67 + + V_{sticky} (r_{ij} ,\Omega _i ,\Omega _j )
68 + \]
69 + where $r_{ij}$ is the vector between molecule $i$ and molecule $j$,
70 + $\Omega _i$ and $\Omega _j$ are the orientational degrees of freedom
71 + for molecule $i$ and molecule $j$ respectively.
72 + \[
73 + V_{LJ} (r_{ij} ) = 4\varepsilon _{ij} \left[ {\left( {\frac{{\sigma
74 + _{ij} }}{{r_{ij} }}} \right)^{12}  - \left( {\frac{{\sigma _{ij}
75 + }}{{r_{ij} }}} \right)^6 } \right]
76 + \]
77 + \[
78 + V_{dp} (r_{ij} ,\Omega _i ,\Omega _j ) = \frac{1}{{4\pi \varepsilon
79 + _0 }}\left[ {\frac{{\mu _i  \cdot \mu _j }}{{r_{ij}^3 }} -
80 + \frac{{3\left( {\mu _i  \cdot r_{ij} } \right)\left( {\mu _i  \cdot
81 + r_{ij} } \right)}}{{r_{ij}^5 }}} \right]
82 + \]
83 + \[
84 + V_{sticky} (r_{ij} ,\Omega _i ,\Omega _j ) = v_0 [s(r_{ij} )w(r_{ij}
85 + ,\Omega _i ,\Omega _j ) + s'(r_{ij} )w'(r_{ij} ,\Omega _i ,\Omega _j
86 + )]
87 + \]
88 + where $v_0$ is a strength parameter, $s$ and $s'$ are cubic
89 + switching functions, while $w$   and $w'$  are responsible for the
90 + tetrahedral potential and the short-range correction to the dipolar
91 + interaction respectively.
92 + \[
93 + \begin{array}{l}
94 + w(r_{ij} ,\Omega _i ,\Omega _j ) = \sin \theta _{ij} \sin 2\theta _{ij} \cos 2\phi _{ij}  \\
95 + w'(r_{ij} ,\Omega _i ,\Omega _j ) = (\cos \theta _{ij}  - 0.6)^2 (\cos \theta _{ij}  + 0.8)^2  - w_0  \\
96 + \end{array}
97 + \]
98 + Although dipole-dipole and sticky interactions are more
99 + mathematically complicated than Coulomb interactions, the number of
100 + pair interactions is reduced dramatically both because the model
101 + only contains a single-point as well as "short range" nature of the
102 + higher order interaction.
103 +
104 + \subsection{\label{lipidSection:coarseGrained}The Coarse-Grained Phospholipid Model}
105 +
106 + Fig.~\ref{lipidFigure:coarseGrained} shows a schematic for our
107 + coarse-grained phospholipid model. The lipid head group is modeled
108 + by a linear rigid body which consists of three Lennard-Jones spheres
109 + and a centrally located point-dipole. The backbone atoms in the
110 + glycerol motif are modeled by Lennard-Jones spheres with dipoles.
111 + Alkyl groups in hydrocarbon chains are replaced with unified
112 + $\text{{\sc CH}}_2$ or $\text{{\sc CH}}_3$ atoms.
113 +
114 + \begin{figure}
115 + \centering
116 + \includegraphics[width=3in]{coarse_grained.eps}
117 + \caption[A representation of coarse-grained phospholipid model]{A
118 + representation of coarse-grained phospholipid model. The lipid
119 + headgroup consists of $\text{{\sc PO}}_4$ group (yellow),
120 + $\text{{\sc NC}}_4$ group (blue) and a united $\text{{\sc C}} atom
121 + (gray) $ with a dipole, while the glycerol backbone includes dipolar
122 + $\text{{\sc CE}}$ (read) and $\text{{\sc CK}}$ (pink) groups. Alkyl
123 + groups in hydrocarbon chains are simply represented by gray united
124 + atoms.} \label{lipidFigure:coarseGrained}
125 + \end{figure}
126 +
127 + Accurate and efficient computation of electrostatics is one of the
128 + most difficult tasks in molecular modeling. Traditionally, the
129 + electrostatic interaction between two molecular species is
130 + calculated as a sum of interactions between pairs of point charges,
131 + using Coulomb's law:
132 + \[
133 + V = \sum\limits_{i = 1}^{N_A } {\sum\limits_{j = 1}^{N_B }
134 + {\frac{{q_i q_j }}{{4\pi \varepsilon _0 r_{ij} }}} }
135 + \]
136 + where $N_A$ and $N_B$ are the number of point charges in the two
137 + molecular species. Originally developed to study ionic crystals, the
138 + Ewald summation method mathematically transforms this
139 + straightforward but conditionally convergent summation into two more
140 + complicated but rapidly convergent sums. One summation is carried
141 + out in reciprocal space while the other is carried out in real
142 + space. An alternative approach is a multipole expansion, which is
143 + based on electrostatic moments, such as charge (monopole), dipole,
144 + quadruple etc.
145 +
146 + Here we consider a linear molecule which consists of two point
147 + charges $\pm q$ located at $ ( \pm \frac{d}{2},0)$. The
148 + electrostatic potential at point $P$ is given by:
149 + \[
150 + \frac{1}{{4\pi \varepsilon _0 }}\left( {\frac{{ - q}}{{r_ -  }} +
151 + \frac{{ + q}}{{r_ +  }}} \right) = \frac{1}{{4\pi \varepsilon _0
152 + }}\left( {\frac{{ - q}}{{\sqrt {r^2  + \frac{{d^2 }}{4} + rd\cos
153 + \theta } }} + \frac{q}{{\sqrt {r^2  + \frac{{d^2 }}{4} - rd\cos
154 + \theta } }}} \right)
155 + \]
156 +
157 + \begin{figure}
158 + \centering
159 + \includegraphics[width=3in]{charge_dipole.eps}
160 + \caption[An illustration of split-dipole
161 + approximation]{Electrostatic potential due to a linear molecule
162 + comprising two point charges with opposite charges. }
163 + \label{lipidFigure:chargeDipole}
164 + \end{figure}
165 +
166 + The basic assumption of the multipole expansion is $r \gg d$ , thus,
167 + $\frac{{d^2 }}{4}$ inside the square root of the denominator is
168 + neglected. This is a reasonable approximation in most cases.
169 + Unfortunately, in our headgroup model, the distance of charge
170 + separation $d$ (4.63 $\AA$ in PC headgroup) may be comparable to
171 + $r$. Nevertheless, we could still assume  $ \cos \theta  \approx 0$
172 + in the central region of the headgroup. Using Taylor expansion and
173 + associating appropriate terms with electric moments will result in a
174 + "split-dipole" approximation:
175 + \[
176 + V(r) = \frac{1}{{4\pi \varepsilon _0 }}\frac{{r\mu \cos \theta
177 + }}{{R^3 }}
178 + \]
179 + where$R = \sqrt {r^2  + \frac{{d^2 }}{4}}$ Placing a dipole at point
180 + $P$ and applying the same strategy, the interaction between two
181 + split-dipoles is then given by:
182 + \[
183 + V_{sd} (r_{ij} ,\Omega _i ,\Omega _j ) = \frac{1}{{4\pi \varepsilon
184 + _0 }}\left[ {\frac{{\mu _i  \cdot \mu _j }}{{R_{ij}^3 }} -
185 + \frac{{3\left( {\mu _i  \cdot r_{ij} } \right)\left( {\mu _i  \cdot
186 + r_{ij} } \right)}}{{R_{ij}^5 }}} \right]
187 + \]
188 + where $\mu _i$  and  $\mu _j$ are the dipole moment of molecule $i$
189 + and molecule $j$ respectively, $r_{ij}$ is vector between molecule
190 + $i$ and molecule $j$, and $R_{ij}$ is given by,
191 + \[
192 + R_{ij}  = \sqrt {r_{ij}^2  + \frac{{d_i^2 }}{4} + \frac{{d_j^2
193 + }}{4}}
194 + \]
195 + where $d_i$ and $d_j$ are the charge separation distance of dipole
196 + and respectively. This approximation to the multipole expansion
197 + maintains the fast fall-off of the multipole potentials but lacks
198 + the normal divergences when two polar groups get close to one
199 + another. The comparision between different electrostatic
200 + approximation is shown in \ref{lipidFigure:splitDipole}. Due to the
201 + divergence at the central region of the headgroup introduced by
202 + dipole-dipole approximation, we discover that water molecules are
203 + locked into the central region in the simulation. This artifact can
204 + be corrected using split-dipole approximation or other accurate
205 + methods.
206 + \begin{figure}
207 + \centering
208 + \includegraphics[width=3in]{split_dipole.eps}
209 + \caption[Comparison between electrostatic
210 + approximation]{Electrostatic potential map for two pairs of charges
211 + with different alignments: (a) illustration of different alignments;
212 + (b) charge-charge interaction; (c) dipole-dipole approximation; (d)
213 + split-dipole approximation.} \label{lipidFigure:splitDipole}
214 + \end{figure}
215 +
216 + %\section{\label{lipidSection:methods}Methods}
217 +
218   \section{\label{lipidSection:resultDiscussion}Results and Discussion}
219 +
220 + \subsection{One Lipid in Sea of Water Molecules}
221 +
222 + To exclude the inter-headgroup interaction, atomistic models of one
223 + lipid (DMPC or DLPE) in sea of water molecules (TIP3P) were built
224 + and studied using atomistic molecular dynamics. The simulation was
225 + analyzed using a set of radial distribution functions, which give
226 + the probability of finding a pair of molecular species a distance
227 + apart, relative to the probability expected for a completely random
228 + distribution function at the same density.
229 +
230 + \begin{equation}
231 + g_{AB} (r) = \frac{1}{{\rho _B }}\frac{1}{{N_A }} < \sum\limits_{i
232 + \in A} {\sum\limits_{j \in B} {\delta (r - r_{ij} )} }  >
233 + \end{equation}
234 + \begin{equation}
235 + g_{AB} (r,\cos \theta ) = \frac{1}{{\rho _B }}\frac{1}{{N_A }} <
236 + \sum\limits_{i \in A} {\sum\limits_{j \in B} {\delta (r - r_{ij} )}
237 + } \delta (\cos \theta _{ij}  - \cos \theta ) >
238 + \end{equation}
239 +
240 + From Fig.~\ref{lipidFigure:PCFAtom}, we can identify the first
241 + solvation shell (3.5 $\AA$) and the second solvation shell (5.0
242 + $\AA$) from both plots. However, the corresponding orientations are
243 + different. In DLPE, water molecules prefer to sit around $\text{{\sc
244 + NH}}_3$ group due to the hydrogen bonding. In contrast, because of
245 + the hydrophobic effect of the $ {\rm{N(CH}}_{\rm{3}}
246 + {\rm{)}}_{\rm{3}} $ group, the preferred position of water molecules
247 + in DMPC is around the $\text{{\sc PO}}_4$ Group. When the water
248 + molecules are far from the headgroup, the distribution of the two
249 + angles should be uniform. The correlation close to center of the
250 + headgroup dipole in both plots tell us that in the closely-bound
251 + region, the dipoles of the water molecules are preferentially
252 + anti-aligned with the dipole of headgroup. When the water molecules
253 + are far from the headgroup, the distribution of the two angles
254 + should be uniform. The correlation close to center of the headgroup
255 + dipole in both plots tell us that in the closely-bound region, the
256 + dipoles of the water molecules are preferentially aligned with the
257 + dipole of headgroup.
258 +
259 + \begin{figure}
260 + \centering
261 + \includegraphics[width=\linewidth]{g_atom.eps}
262 + \caption[The pair correlation functions for atomistic models]{The
263 + pair correlation functions for atomistic models: (a)$g(r,\cos \theta
264 + )$ for DMPC; (b) $g(r,\cos \theta )$ for DLPE; (c)$g(r,\cos \omega
265 + )$ for DMPC; (d)$g(r,\cos \omega )$ for DLPE; (e)$g(\cos \theta,\cos
266 + \omega)$ for DMPC; (f)$g(\cos \theta,\cos \omega)$ for DMLPE.}
267 + \label{lipidFigure:PCFAtom}
268 + \end{figure}
269 +
270 + The initial configurations of coarse-grained systems are constructed
271 + from the previous atomistic ones. The parameters for the
272 + coarse-grained model in Table~\ref{lipidTable:parameter} are
273 + estimated and tuned using isothermal-isobaric molecular dynamics.
274 + Pair distribution functions calculated from coarse-grained models
275 + preserve the basic characteristics of the atomistic simulations. The
276 + water density, measured in a head-group-fixed reference frame,
277 + surrounding two phospholipid headgroups is shown in
278 + Fig.~\ref{lipidFigure:PCFCoarse}. It is clear that the phosphate end
279 + in DMPC and the amine end in DMPE are the two most heavily solvated
280 + atoms.
281 +
282 + \begin{figure}
283 + \centering
284 + \includegraphics[width=\linewidth]{g_coarse.eps}
285 + \caption[The pair correlation functions for coarse-grained
286 + models]{The pair correlation functions for coarse-grained models:
287 + (a)$g(r,\cos \theta )$ for DMPC; (b) $g(r,\cos \theta )$ for DLPE.}
288 + \label{lipidFigure:PCFCoarse}
289 + \end{figure}
290 +
291 + \begin{figure}
292 + \centering
293 + \includegraphics[width=\linewidth]{EWD_coarse.eps}
294 + \caption[Excess water density of coarse-grained
295 + phospholipids]{Excess water density of coarse-grained
296 + phospholipids.} \label{lipidFigure:EWDCoarse}
297 + \end{figure}
298 +
299 + \begin{table}
300 + \caption{The Parameters For Coarse-grained Phospholipids}
301 + \label{lipidTable:parameter}
302 + \begin{center}
303 + \begin{tabular}{|l|c|c|c|c|c|}
304 +  \hline
305 +  % after \\: \hline or \cline{col1-col2} \cline{col3-col4} ...
306 +  Atom type & Mass & $\sigma$ & $\epsilon$ & charge & Dipole \\
307 +  $\text{{\sc CH}}_2$ & 14.03  & 3.95 & 0.0914 & 0 & 0 \\
308 +  $\text{{\sc CH}}_3$ & 15.04  & 3.75 & 0.195  & 0 & 0 \\
309 +  $\text{{\sc CE}}$   & 28.01  & 3.427& 0.294  & 0 & 1.693 \\
310 +  $\text{{\sc CK}}$   & 28.01  & 3.592& 0.311  & 0 & 2.478 \\
311 +  $\text{{\sc PO}}_4$ & 108.995& 3.9  & 1.88   & -1&  0 \\
312 +  $\text{{\sc HDP}}$  & 14.03  & 4.0  & 0.13   & 0 &  0 \\
313 +  $\text{{\sc NC}}_4$ & 73.137 & 4.9  & 0.88   & +1&  0 \\
314 +  $\text{{\sc NH}}_3$ & 17.03  & 3.25 & 0.17   & +1&  0\\
315 +  \hline
316 + \end{tabular}
317 + \end{center}
318 + \end{table}
319 +
320 + \subsection{Bilayer Simulations Using Coarse-grained Model}
321 +
322 + A bilayer system consisting of 128 DMPC lipids and 3655 water
323 + molecules has been constructed from an atomistic coordinate file.
324 + The MD simulation is performed at constant temperature, T = 300K,
325 + and constant pressure, p = 1 atm, and consisted of an equilibration
326 + period of 2 ns. During the equilibration period, the system was
327 + initially simulated at constant volume for 1 ns. Once the system was
328 + equilibrated at constant volume, the cell dimensions of the system
329 + was relaxed by performing under NPT conditions using Nos¨¦-Hoover
330 + extended system isothermal-isobaric dynamics. After equilibration,
331 + different properties were evaluated over a production run of 5 ns.
332 +
333 + \begin{figure}
334 + \centering
335 + \includegraphics[width=\linewidth]{bilayer.eps}
336 + \caption[Image of a coarse-grained bilayer system]{A coarse-grained
337 + bilayer system consisting of 128 DMPC lipids and 3655 SSD water
338 + molecules.}
339 + \label{lipidFigure:bilayer}
340 + \end{figure}
341 +
342 + \subsubsection{\textbf{Electron Density Profile (EDP)}}
343 +
344 + Assuming a gaussian distribution of electrons on each atomic center
345 + with a variance estimated from the size of the van der Waals radius,
346 + the EDPs which are proportional to the density profiles measured
347 + along the bilayer normal obtained by x-ray scattering experiment,
348 + can be expressed by\cite{Tu1995}
349 + \begin{equation}
350 + \rho _{x - ray} (z)dz \propto \sum\limits_{i = 1}^N {\frac{{n_i
351 + }}{V}\frac{1}{{\sqrt {2\pi \sigma ^2 } }}e^{ - (z - z_i )^2 /2\sigma
352 + ^2 } dz},
353 + \end{equation}
354 + where $\sigma$ is the variance equal to the van der Waals radius,
355 + $n_i$ is the atomic number of site $i$ and $V$ is the volume of the
356 + slab between $z$ and $z+dz$ . The highest density of total EDP
357 + appears at the position of lipid-water interface corresponding to
358 + headgroup, glycerol, and carbonyl groups of the lipids and the
359 + distribution of water locked near the head groups, while the lowest
360 + electron density is in the hydrocarbon region. As a good
361 + approximation to the thickness of the bilayer, the headgroup spacing
362 + , is defined as the distance between two peaks in the electron
363 + density profile, calculated from our simulations to be 34.1 $\AA$.
364 + This value is close to the x-ray diffraction experimental value 34.4
365 + $\AA$\cite{Petrache1998}.
366 +
367 + \begin{figure}
368 + \centering
369 + \includegraphics[width=\linewidth]{electron_density.eps}
370 + \caption[The density profile of the lipid bilayers]{Electron density
371 + profile along the bilayer normal. The water density is shown in red,
372 + the density due to the headgroups in green, the glycerol backbone in
373 + brown, $\text{{\sc CH}}_2$ in yellow, $\text{{\sc CH}}_3$ in cyan,
374 + and total density due to DMPC in blue.}
375 + \label{lipidFigure:electronDensity}
376 + \end{figure}
377 +
378 + \subsubsection{\textbf{$\text{S}_{\text{{\sc cd}}}$ Order Parameter}}
379 +
380 + Measuring deuterium order parameters by NMR is a useful technique to
381 + study the orientation of hydrocarbon chains in phospholipids. The
382 + order parameter tensor $S$ is defined by:
383 + \begin{equation}
384 + S_{ij}  = \frac{1}{2} < 3\cos \theta _i \cos \theta _j  - \delta
385 + _{ij}  >
386 + \end{equation}
387 + where $\theta$ is the angle between the  $i$th molecular axis and
388 + the bilayer normal ($z$ axis). The brackets denote an average over
389 + time and molecules. The molecular axes are defined:
390 + \begin{itemize}
391 + \item $\mathbf{\hat{z}}$ is the vector from $C_{n-1}$ to $C_{n+1}$.
392 + \item $\mathbf{\hat{y}}$ is the vector that is perpendicular to $z$ and
393 + in the plane through $C_{n-1}$, $C_{n}$, and $C_{n+1}$.
394 + \item $\mathbf{\hat{x}}$ is the vector perpendicular to
395 + $\mathbf{\hat{y}}$ and $\mathbf{\hat{z}}$.
396 + \end{itemize}
397 + In coarse-grained model, although there are no explicit hydrogens,
398 + the order parameter can still be written in terms of carbon ordering
399 + at each point of the chain\cite{Egberts1988}
400 + \begin{equation}
401 + S_{ij}  = \frac{1}{2} < 3\cos \theta _i \cos \theta _j  - \delta
402 + _{ij}  >.
403 + \end{equation}
404 +
405 + Fig.~\ref{lipidFigure:Scd} shows the order parameter profile
406 + calculated for our coarse-grained DMPC bilayer system at 300K. Also
407 + shown are the experimental data of Tu\cite{Tu1995}. The fact that
408 + $\text{S}_{\text{{\sc cd}}}$ order parameters calculated from
409 + simulation are higher than the experimental ones is ascribed to the
410 + assumption of the locations of implicit hydrogen atoms which are
411 + fixed in coarse-grained models at positions relative to the CC
412 + vector.
413 +
414 + \begin{figure}
415 + \centering
416 + \includegraphics[width=\linewidth]{scd.eps}
417 + \caption[$\text{S}_{\text{{\sc cd}}}$ order parameter]{A comparison
418 + of $|\text{S}_{\text{{\sc cd}}}|$ between coarse-grained model
419 + (blue) and DMPC\cite{Petrache2000} (black) near 300~K.}
420 + \label{lipidFigure:Scd}
421 + \end{figure}
422 +
423 + %\subsection{Bilayer Simulations Using Gay-Berne Ellipsoid Model}
424 +
425 + \section{\label{lipidSection:Conclusion}Conclusion}
426 +
427 + Atomistic simulations are used in this study to determine the
428 + preferred orientation and location of water molecules relative to
429 + the location and orientation of the PC and PE lipid headgroups.
430 + Based on the result from all-atom simulations, we developed a simple
431 + coarse-grained model capturing essential features of the headgroup
432 + solvation which is crucial to transport process in membrane system.
433 + In addition, the model has been explored in a bilayer system which
434 + is shown to have reasonable electron density profile,
435 + $\text{S}_{\text{{\sc cd}}}$ order parameter and other structural
436 + properties. The accuracy of this model is achieved by matching
437 + atomistic result. It is also easy to represent different
438 + phosphorlipids by changing a few parameters of the model. Another
439 + important characteristic of this model distinguishing itself from
440 + other models\cite{Goetz1998,Marrink2004} is the computational speed
441 + gaining by introducing short range electrostatic approximation.
442 + Further studies of this system using z-constraint method could
443 + extend the time length of the simulations to study transport
444 + phenomena in large-scale membrane systems.

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