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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
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
23 < or by membrane pores which facilitate crossing. Active transport
24 < depends upon the expenditure of cellular energy in the form of ATP
25 < hydrolysis. As the central processes of membrane assembly,
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]
14 > ns. In the second solvation shell, some water molecules are weakly
15 > bound, but are still essential for determining the properties of the
16 > system. Transport of various molecular species into living cells is
17 > one of the major functions of membranes. A thorough understanding of
18 > the underlying molecular mechanism for solute diffusion is crucial
19 > to the further studies of other related biological processes. All
20 > transport across cell membranes takes place by one of two
21 > fundamental processes: Passive transport is driven by bulk or
22 > inter-diffusion of the molecules being transported or by membrane
23 > pores which facilitate crossing. Active transport depends upon the
24 > expenditure of cellular energy in the form of ATP hydrolysis. As the
25 > central processes of membrane assembly, translocation of
26 > phospholipids across membrane bilayers requires the hydrophilic head
27 > of the phospholipid to pass through the highly hydrophobic interior
28 > of the membrane, and for the hydrophobic tails to be exposed to the
29 > aqueous environment. A number of studies indicate that the flipping
30 > of phospholipids occurs rapidly in the eukaryotic ER and the
31 > bacterial cytoplasmic membrane via a bi-directional, facilitated
32 > diffusion process requiring no metabolic energy input. Another
33 > system of interest would be the distribution of sites occupied by
34 > inhaled anesthetics in membrane. Although the physiological effects
35 > of anesthetics have been extensively studied, the controversy over
36 > their effects on lipid bilayers still continues. Recent deuterium
37 > NMR measurements on halothane in POPC lipid bilayers suggest the
38 > anesthetics are primarily located at the hydrocarbon chain region.
39 > Infrared spectroscopy experiments suggest that halothane in DMPC
40 > lipid bilayers lives near the membrane/water interface.
41  
42 + Molecular dynamics simulations have proven to be a powerful tool for
43 + studying the functions of biological systems, providing structural,
44 + thermodynamic and dynamical information. Unfortunately, much of
45 + biological interest happens on time and length scales well beyond
46 + the range of current simulation technologies. Several schemes are
47 + proposed in this chapter to overcome these difficulties.
48  
49   \section{\label{lipidSection:model}Model}
50  
51 < \section{\label{lipidSection:methods}Methods}
51 > \subsection{\label{lipidSection:SSD}The Soft Sticky Dipole Water Model}
52  
53 + In a typical bilayer simulation, the dominant portion of the
54 + computation time will be spent calculating water-water interactions.
55 + As an efficient solvent model, the Soft Sticky Dipole (SSD) water
56 + model is used as the explicit solvent in this project. Unlike other
57 + water models which have partial charges distributed throughout the
58 + whole molecule, the SSD water model consists of a single site which
59 + is a Lennard-Jones interaction site, as well as a point dipole. A
60 + tetrahedral potential is added to correct for hydrogen bonding. The
61 + following equation describes the interaction between two water
62 + molecules:
63 + \[
64 + V_{SSD}  = V_{LJ} (r_{ij} ) + V_{dp} (r_{ij} ,\Omega _i ,\Omega _j )
65 + + V_{sticky} (r_{ij} ,\Omega _i ,\Omega _j )
66 + \]
67 + where $r_{ij}$ is the vector between molecule $i$ and molecule $j$,
68 + $\Omega _i$ and $\Omega _j$ are the orientational degrees of freedom
69 + for molecule $i$ and molecule $j$ respectively.
70 + \[
71 + V_{LJ} (r_{ij} ) = 4\varepsilon _{ij} \left[ {\left( {\frac{{\sigma
72 + _{ij} }}{{r_{ij} }}} \right)^{12}  - \left( {\frac{{\sigma _{ij}
73 + }}{{r_{ij} }}} \right)^6 } \right]
74 + \]
75 + \[
76 + V_{dp} (r_{ij} ,\Omega _i ,\Omega _j ) = \frac{1}{{4\pi \varepsilon
77 + _0 }}\left[ {\frac{{\mu _i  \cdot \mu _j }}{{r_{ij}^3 }} -
78 + \frac{{3\left( {\mu _i  \cdot r_{ij} } \right)\left( {\mu _i  \cdot
79 + r_{ij} } \right)}}{{r_{ij}^5 }}} \right]
80 + \]
81 + \[
82 + V_{sticky} (r_{ij} ,\Omega _i ,\Omega _j ) = v_0 [s(r_{ij} )w(r_{ij}
83 + ,\Omega _i ,\Omega _j ) + s'(r_{ij} )w'(r_{ij} ,\Omega _i ,\Omega _j
84 + )]
85 + \]
86 + where $v_0$ is a strength parameter, $s$ and $s'$ are cubic
87 + switching functions, while $w$   and $w'$  are responsible for the
88 + tetrahedral potential and the short-range correction to the dipolar
89 + interaction respectively.
90 + \[
91 + \begin{array}{l}
92 + w(r_{ij} ,\Omega _i ,\Omega _j ) = \sin \theta _{ij} \sin 2\theta _{ij} \cos 2\phi _{ij}  \\
93 + w'(r_{ij} ,\Omega _i ,\Omega _j ) = (\cos \theta _{ij}  - 0.6)^2 (\cos \theta _{ij}  + 0.8)^2  - w_0  \\
94 + \end{array}
95 + \]
96 + Although dipole-dipole and sticky interactions are more
97 + mathematically complicated than Coulomb interactions, the number of
98 + pair interactions is reduced dramatically both because the model
99 + only contains a single-point as well as "short range" nature of the
100 + higher order interaction.
101 +
102 + \subsection{\label{lipidSection:coarseGrained}The Coarse-Grained Phospholipid Model}
103 +
104 + Figure 1 shows a schematic for our coarse-grained phospholipid
105 + model. The lipid head group is modeled by a linear rigid body which
106 + consists of three Lennard-Jones spheres and a centrally located
107 + point-dipole. The backbone atoms in the glycerol motif are modeled
108 + by Lennard-Jones spheres with dipoles. Alkyl groups in hydrocarbon
109 + chains are replaced with unified CH2 or CH3 atoms.
110 +
111 + Accurate and efficient computation of electrostatics is one of the
112 + most difficult tasks in molecular modeling. Traditionally, the
113 + electrostatic interaction between two molecular species is
114 + calculated as a sum of interactions between pairs of point charges,
115 + using Coulomb's law:
116 + \[
117 + V = \sum\limits_{i = 1}^{N_A } {\sum\limits_{j = 1}^{N_B }
118 + {\frac{{q_i q_j }}{{4\pi \varepsilon _0 r_{ij} }}} }
119 + \]
120 + where $N_A$ and $N_B$ are the number of point charges in the two
121 + molecular species. Originally developed to study ionic crystals, the
122 + Ewald summation method mathematically transforms this
123 + straightforward but conditionally convergent summation into two more
124 + complicated but rapidly convergent sums. One summation is carried
125 + out in reciprocal space while the other is carried out in real
126 + space. An alternative approach is a multipole expansion, which is
127 + based on electrostatic moments, such as charge (monopole), dipole,
128 + quadruple etc.
129 +
130 + Here we consider a linear molecule which consists of two point
131 + charges $\pm q$ located at $ ( \pm \frac{d}{2},0)$. The
132 + electrostatic potential at point $P$ is given by:
133 + \[
134 + \frac{1}{{4\pi \varepsilon _0 }}\left( {\frac{{ - q}}{{r_ -  }} +
135 + \frac{{ + q}}{{r_ +  }}} \right) = \frac{1}{{4\pi \varepsilon _0
136 + }}\left( {\frac{{ - q}}{{\sqrt {r^2  + \frac{{d^2 }}{4} + rd\cos
137 + \theta } }} + \frac{q}{{\sqrt {r^2  + \frac{{d^2 }}{4} - rd\cos
138 + \theta } }}} \right)
139 + \]
140 +
141 + The basic assumption of the multipole expansion is $r \gg d$ , thus,
142 + $\frac{{d^2 }}{4}$ inside the square root of the denominator is
143 + neglected. This is a reasonable approximation in most cases.
144 + Unfortunately, in our headgroup model, the distance of charge
145 + separation $d$ (4.63 $\AA$ in PC headgroup) may be comparable to
146 + $r$. Nevertheless, we could still assume  $ \cos \theta  \approx 0$
147 + in the central region of the headgroup. Using Taylor expansion and
148 + associating appropriate terms with electric moments will result in a
149 + "split-dipole" approximation:
150 + \[
151 + V(r) = \frac{1}{{4\pi \varepsilon _0 }}\frac{{r\mu \cos \theta
152 + }}{{R^3 }}
153 + \]
154 + where$R = \sqrt {r^2  + \frac{{d^2 }}{4}}$ Placing a dipole at point
155 + $P$ and applying the same strategy, the interaction between two
156 + split-dipoles is then given by:
157 + \[
158 + V_{sd} (r_{ij} ,\Omega _i ,\Omega _j ) = \frac{1}{{4\pi \varepsilon
159 + _0 }}\left[ {\frac{{\mu _i  \cdot \mu _j }}{{R_{ij}^3 }} -
160 + \frac{{3\left( {\mu _i  \cdot r_{ij} } \right)\left( {\mu _i  \cdot
161 + r_{ij} } \right)}}{{R_{ij}^5 }}} \right]
162 + \]
163 + where $\mu _i$  and  $\mu _j$ are the dipole moment of molecule $i$
164 + and molecule $j$ respectively, $r_{ij}$ is vector between molecule
165 + $i$ and molecule $j$, and $R_{ij{$ is given by,
166 + \[
167 + R_{ij}  = \sqrt {r_{ij}^2  + \frac{{d_i^2 }}{4} + \frac{{d_j^2
168 + }}{4}}
169 + \]
170 + where $d_i$ and $d_j$ are the charge separation distance of dipole
171 + and respectively. This approximation to the multipole expansion
172 + maintains the fast fall-off of the multipole potentials but lacks
173 + the normal divergences when two polar groups get close to one
174 + another.
175 +
176 + \begin{figure}
177 + \centering
178 + \includegraphics[width=\linewidth]{split_dipole.eps}
179 + \caption[Comparison between electrostatic approximation]{Electron
180 + density profile along the bilayer normal.}
181 + \label{lipidFigure:splitDipole}
182 + \end{figure}
183 +
184 + %\section{\label{lipidSection:methods}Methods}
185 +
186   \section{\label{lipidSection:resultDiscussion}Results and Discussion}
187 +
188 + \subsection{One Lipid in Sea of Water Molecules}
189 +
190 + To exclude the inter-headgroup interaction, atomistic models of one
191 + lipid (DMPC or DLPE) in sea of water molecules (TIP3P) were built
192 + and studied using atomistic molecular dynamics. The simulation was
193 + analyzed using a set of radial distribution functions, which give
194 + the probability of finding a pair of molecular species a distance
195 + apart, relative to the probability expected for a completely random
196 + distribution function at the same density.
197 +
198 + \begin{equation}
199 + g_{AB} (r) = \frac{1}{{\rho _B }}\frac{1}{{N_A }} < \sum\limits_{i
200 + \in A} {\sum\limits_{j \in B} {\delta (r - r_{ij} )} }  >
201 + \end{equation}
202 + \begin{equation}
203 + g_{AB} (r,\cos \theta ) = \frac{1}{{\rho _B }}\frac{1}{{N_A }} <
204 + \sum\limits_{i \in A} {\sum\limits_{j \in B} {\delta (r - r_{ij} )}
205 + } \delta (\cos \theta _{ij}  - \cos \theta ) >
206 + \end{equation}
207 +
208 + From figure 4(a), we can identify the first solvation shell (3.5
209 + $\AA$) and the second solvation shell (5.0 $\AA$) from both plots.
210 + However, the corresponding orientations are different. In DLPE,
211 + water molecules prefer to sit around -NH3 group due to the hydrogen
212 + bonding. In contrast, because of the hydrophobic effect of the
213 + -N(CH3)3 group, the preferred position of water molecules in DMPC is
214 + around the -PO4 Group. When the water molecules are far from the
215 + headgroup, the distribution of the two angles should be uniform. The
216 + correlation close to center of the headgroup dipole (< 5 $\AA$) in
217 + both plots tell us that in the closely-bound region, the dipoles of
218 + the water molecules are preferentially anti-aligned with the dipole
219 + of headgroup.
220 +
221 + \begin{figure}
222 + \centering
223 + \includegraphics[width=\linewidth]{g_atom.eps}
224 + \caption[The pair correlation functions for atomistic models]{}
225 + \label{lipidFigure:PCFAtom}
226 + \end{figure}
227 +
228 + The initial configurations of coarse-grained systems are constructed
229 + from the previous atomistic ones. The parameters for the
230 + coarse-grained model in Table~\ref{lipidTable:parameter} are
231 + estimated and tuned using isothermal-isobaric molecular dynamics.
232 + Pair distribution functions calculated from coarse-grained models
233 + preserve the basic characteristics of the atomistic simulations. The
234 + water density, measured in a head-group-fixed reference frame,
235 + surrounding two phospholipid headgroups is shown in
236 + Fig.~\ref{lipidFigure:PCFCoarse}. It is clear that the phosphate end
237 + in DMPC and the amine end in DMPE are the two most heavily solvated
238 + atoms.
239 +
240 + \begin{figure}
241 + \centering
242 + \includegraphics[width=\linewidth]{g_coarse.eps}
243 + \caption[The pair correlation functions for coarse-grained models]{}
244 + \label{lipidFigure:PCFCoarse}
245 + \end{figure}
246 +
247 + \begin{figure}
248 + \centering
249 + \includegraphics[width=\linewidth]{EWD_coarse.eps}
250 + \caption[Excess water density of coarse-grained phospholipids]{ }
251 + \label{lipidFigure:EWDCoarse}
252 + \end{figure}
253 +
254 + \begin{table}
255 + \caption{The Parameters For Coarse-grained Phospholipids}
256 + \label{lipidTable:parameter}
257 + \begin{center}
258 + \begin{tabular}{|l|c|c|c|c|c|}
259 +  \hline
260 +  % after \\: \hline or \cline{col1-col2} \cline{col3-col4} ...
261 +  Atom type & Mass & $\sigma$ & $\epsilon$ & charge & Dipole \\
262 +
263 +  $\text{{\sc CH}}_2$ & 14.03  & 3.95 & 0.0914 & 0 & 0 \\
264 +  $\text{{\sc CH}}_3$ & 15.04  & 3.75 & 0.195  & 0 & 0 \\
265 +  $\text{{\sc CE}}$   & 28.01  & 3.427& 0.294  & 0 & 1.693
266 +  $\text{{\sc CK}}$   & 28.01  & 3.592& 0.311  & 0 & 2.478 \\
267 +  $\text{{\sc PO}}_4$ & 108.995& 3.9  & 1.88   & -1&  0 \\
268 +  $\text{{\sc HDP}}$  & 14.03  & 4.0  & 0.13   & 0 &  0 \\
269 +  $\text{{\sc NC}}_4$ & 73.137 & 4.9  & 0.88   & +1&  0 \\
270 +  $\text{{\sc NH}}_3$ & 17.03  & 3.25 & 0.17   & +1&  0\\
271 +  \hline
272 + \end{tabular}
273 + \end{center}
274 + \end{table}
275 +
276 + \subsection{Bilayer Simulations Using Coarse-grained Model}
277 +
278 + A bilayer system consisting of 128 DMPC lipids and 3655 water
279 + molecules has been constructed from an atomistic coordinate
280 + file.[15] The MD simulation is performed at constant temperature, T
281 + = 300K, and constant pressure, p = 1 atm, and consisted of an
282 + equilibration period of 2 ns. During the equilibration period, the
283 + system was initially simulated at constant volume for 1ns. Once the
284 + system was equilibrated at constant volume, the cell dimensions of
285 + the system was relaxed by performing under NPT conditions using
286 + Nos¨¦-Hoover extended system isothermal-isobaric dynamics. After
287 + equilibration, different properties were evaluated over a production
288 + run of 5 ns.
289 +
290 + \begin{figure}
291 + \centering
292 + \includegraphics[width=\linewidth]{bilayer.eps}
293 + \caption[Image of a coarse-grained bilayer system]{A coarse-grained
294 + bilayer system consisting of 128 DMPC lipids and 3655 SSD water
295 + molecules.}
296 + \label{lipidFigure:bilayer}
297 + \end{figure}
298 +
299 + \subsubsection{Electron Density Profile (EDP)}
300 +
301 + Assuming a gaussian distribution of electrons on each atomic center
302 + with a variance estimated from the size of the van der Waals radius,
303 + the EDPs which are proportional to the density profiles measured
304 + along the bilayer normal obtained by x-ray scattering experiment,
305 + can be expressed by
306 + \begin{equation}
307 + \rho _{x - ray} (z)dz \propto \sum\limits_{i = 1}^N {\frac{{n_i
308 + }}{V}\frac{1}{{\sqrt {2\pi \sigma ^2 } }}e^{ - (z - z_i )^2 /2\sigma
309 + ^2 } dz},
310 + \end{equation}
311 + where $\sigma$ is the variance equal to the van der Waals radius,
312 + $n_i$ is the atomic number of site $i$ and $V$ is the volume of the
313 + slab between $z$ and $z+dz$ . The highest density of total EDP
314 + appears at the position of lipid-water interface corresponding to
315 + headgroup, glycerol, and carbonyl groups of the lipids and the
316 + distribution of water locked near the head groups, while the lowest
317 + electron density is in the hydrocarbon region. As a good
318 + approximation to the thickness of the bilayer, the headgroup spacing
319 + , is defined as the distance between two peaks in the electron
320 + density profile, calculated from our simulations to be 34.1 $\AA$.
321 + This value is close to the x-ray diffraction experimental value 34.4
322 + $\AA$
323 +
324 + \begin{figure}
325 + \centering
326 + \includegraphics[width=\linewidth]{electron_density.eps}
327 + \caption[The density profile of the lipid bilayers]{Electron density
328 + profile along the bilayer normal. The water density is shown in red,
329 + the density due to the headgroups in green, the glycerol backbone in
330 + brown, $\text{{\sc CH}}_2$ in yellow, $\text{{\sc CH}}_3$ in cyan,
331 + and total density due to DMPC in blue.}
332 + \label{lipidFigure:electronDensity}
333 + \end{figure}
334 +
335 + \subsubsection{$\text{S}_{\text{{\sc cd}}}$ Order Parameter}
336 +
337 + Measuring deuterium order parameters by NMR is a useful technique to
338 + study the orientation of hydrocarbon chains in phospholipids. The
339 + order parameter tensor $S$ is defined by:
340 + \begin{equation}
341 + S_{ij}  = \frac{1}{2} < 3\cos \theta _i \cos \theta _j  - \delta
342 + _{ij}  >
343 + \end{equation}
344 + where $\theta$ is the angle between the  $i$th molecular axis and
345 + the bilayer normal ($z$ axis). The brackets denote an average over
346 + time and molecules. The molecular axes are defined:
347 + \begin{itemize}
348 + \item $\mathbf{\hat{z}}$ is the vector from $C_{n-1}$ to $C_{n+1}$.
349 + \item $\mathbf{\hat{y}}$ is the vector that is perpendicular to $z$ and
350 + in the plane through $C_{n-1}$, $C_{n}$, and $C_{n+1}$.
351 + \item $\mathbf{\hat{x}}$ is the vector perpendicular to
352 + $\mathbf{\hat{y}}$ and $\mathbf{\hat{z}}$.
353 + \end{itemize}
354 + In coarse-grained model, although there are no explicit hydrogens,
355 + the order parameter can still be written in terms of carbon ordering
356 + at each point of the chain
357 + \begin{equation}
358 + S_{ij}  = \frac{1}{2} < 3\cos \theta _i \cos \theta _j  - \delta
359 + _{ij}  >.
360 + \end{equation}
361 +
362 + Fig.~\ref{lipidFigure:Scd} shows the order parameter profile
363 + calculated for our coarse-grained DMPC bilayer system at 300K. Also
364 + shown are the experimental data of Tiburu. The fact that
365 + $\text{S}_{\text{{\sc cd}}}$ order parameters calculated from
366 + simulation are higher than the experimental ones is ascribed to the
367 + assumption of the locations of implicit hydrogen atoms which are
368 + fixed in coarse-grained models at positions relative to the CC
369 + vector.
370 +
371 + \begin{figure}
372 + \centering
373 + \includegraphics[width=\linewidth]{scd.eps}
374 + \caption[$\text{S}_{\text{{\sc cd}}}$ order parameter]{A comparison
375 + of $|\text{S}_{\text{{\sc cd}}}|$ between coarse-grained model
376 + (blue) and DMPC\cite{petrache00} (black) near 300~K.}
377 + \label{lipidFigure:Scd}
378 + \end{figure}

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