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# Line 45 | Line 45 | the range of current simulation technologies.
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.
49 < %review of coarse-grained modeling
50 < Several schemes are proposed in this chapter to overcome these
51 < difficulties.
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   \subsection{\label{lipidSection:SSD}The Soft Sticky Dipole Water Model}
54  
# Line 116 | Line 114 | $\text{{\sc CH}}_2$ or $\text{{\sc CH}}_3$ atoms.
114   \begin{figure}
115   \centering
116   \includegraphics[width=3in]{coarse_grained.eps}
117 < \caption[A representation of coarse-grained phospholipid model]{}
118 < \label{lipidFigure:coarseGrained}
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
# Line 153 | Line 157 | electrostatic potential at point $P$ is given by:
157   \begin{figure}
158   \centering
159   \includegraphics[width=3in]{charge_dipole.eps}
160 < \caption[Electrostatic potential due to a linear molecule comprising
161 < two point charges]{Electrostatic potential due to a linear molecule
162 < comprising two point charges} \label{lipidFigure:chargeDipole}
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,
# Line 191 | Line 196 | another.
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.
200 < %description of the comparsion
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=\linewidth]{split_dipole.eps}
209 < \caption[Comparison between electrostatic approximation]{Electron
210 < density profile along the bilayer normal.}
211 < \label{lipidFigure:splitDipole}
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}
# Line 225 | Line 237 | From figure 4(a), we can identify the first solvation
237   } \delta (\cos \theta _{ij}  - \cos \theta ) >
238   \end{equation}
239  
240 < From figure 4(a), we can identify the first solvation shell (3.5
241 < $\AA$) and the second solvation shell (5.0 $\AA$) from both plots.
242 < However, the corresponding orientations are different. In DLPE,
243 < water molecules prefer to sit around -NH3 group due to the hydrogen
244 < bonding. In contrast, because of the hydrophobic effect of the
245 < -N(CH3)3 group, the preferred position of water molecules in DMPC is
246 < around the -PO4 Group. When the water molecules are far from the
247 < headgroup, the distribution of the two angles should be uniform. The
248 < correlation close to center of the headgroup dipole (< 5 $\AA$) in
249 < both plots tell us that in the closely-bound region, the dipoles of
250 < the water molecules are preferentially anti-aligned with the dipole
251 < of headgroup.
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]{}
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  
# Line 260 | Line 282 | atoms.
282   \begin{figure}
283   \centering
284   \includegraphics[width=\linewidth]{g_coarse.eps}
285 < \caption[The pair correlation functions for coarse-grained models]{}
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  
# Line 295 | Line 319 | molecules has been constructed from an atomistic coord
319   \subsection{Bilayer Simulations Using Coarse-grained Model}
320  
321   A bilayer system consisting of 128 DMPC lipids and 3655 water
322 < molecules has been constructed from an atomistic coordinate
323 < file.[15] The MD simulation is performed at constant temperature, T
324 < = 300K, and constant pressure, p = 1 atm, and consisted of an
325 < equilibration period of 2 ns. During the equilibration period, the
326 < system was initially simulated at constant volume for 1ns. Once the
327 < system was equilibrated at constant volume, the cell dimensions of
328 < the system was relaxed by performing under NPT conditions using
329 < Nos¨¦-Hoover extended system isothermal-isobaric dynamics. After
330 < equilibration, different properties were evaluated over a production
307 < run of 5 ns.
322 > molecules has been constructed from an atomistic coordinate file.
323 > The MD simulation is performed at constant temperature, T = 300K,
324 > and constant pressure, p = 1 atm, and consisted of an equilibration
325 > period of 2 ns. During the equilibration period, the system was
326 > initially simulated at constant volume for 1 ns. Once the system was
327 > equilibrated at constant volume, the cell dimensions of the system
328 > was relaxed by performing under NPT conditions using Nos¨¦-Hoover
329 > extended system isothermal-isobaric dynamics. After equilibration,
330 > different properties were evaluated over a production run of 5 ns.
331  
332   \begin{figure}
333   \centering
# Line 397 | Line 420 | of $|\text{S}_{\text{{\sc cd}}}|$ between coarse-grain
420   \end{figure}
421  
422   %\subsection{Bilayer Simulations Using Gay-Berne Ellipsoid Model}
423 +
424 + \section{\label{lipidSection:Conclusion}Conclusion}
425 +
426 + Atomistic simulations are used in this study to determine the
427 + preferred orientation and location of water molecules relative to
428 + the location and orientation of the PC and PE lipid headgroups.
429 + Based on the result from all-atom simulations, we developed a simple
430 + coarse-grained model capturing essential features of the headgroup
431 + solvation which is crucial to transport process in membrane system.
432 + In addition, the model has been explored in a bilayer system which
433 + is shown to have reasonable electron density profile,
434 + $\text{S}_{\text{{\sc cd}}}$ order parameter and other structural
435 + properties. The accuracy of this model is achieved by matching
436 + atomistic result. It is also easy to represent different
437 + phosphorlipids by changing a few parameters of the model. Another
438 + important characteristic of this model distinguishing itself from
439 + other models\cite{Goetz1998,Marrink2004} is the computational speed
440 + gaining by introducing short range electrostatic approximation.
441 + Further studies of this system using z-constraint method could
442 + extend the time length of the simulations to study transport
443 + phenomena in large-scale membrane systems.

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