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1 mmeineke 971
2    
3     \chapter{\label{chapt:lipid}Phospholipid Simulations}
4    
5     \section{\label{lipidSec:Intro}Introduction}
6    
7 mmeineke 1001 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
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
15     investigations are limited to 64 to 256
16     phospholipids.\cite{Lindal:2000,Sum:2003,Venable:2000,Gomez:2003,Smondyrev:1999,Marrinck:2001a}
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
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.
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
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     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     Addressing these issues, several schemes have been proposed. One
49     approach by Goetz and Liposky\cite{Goetz:1998} 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
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     The model used in this investigation adds more information to the
63     interactions than the previous two models,
64    
65 mmeineke 971 \section{\label{lipidSec:Methods}Methods}
66    
67     \subsection{\label{lipidSec:lipidMedel}The Lipid Model}
68    
69     \begin{figure}
70    
71     \caption{Schematic diagram of the single chain phospholipid model}
72    
73     \label{lipidFig:lipidModel}
74    
75     \end{figure}
76    
77     The phospholipid model used in these simulations is based on the
78     design illustrated in Fig.~\ref{lipidFig:lipidModel}. The head group
79     of the phospholipid is replaced by a single Lennard-Jones sphere of
80     diameter $fix$, with $fix$ scaling the well depth of its van der Walls
81     interaction. This sphere also contains a single dipole of magnitude
82     $fix$, where $fix$ can be varied to mimic the charge separation of a
83     given phospholipid head group. The atoms of the tail region are
84     modeled by unified atom beads. They are free of partial charges or
85     dipoles, containing only Lennard-Jones interaction sites at their
86     centers of mass. As with the head groups, their potentials can be
87     scaled by $fix$ and $fix$.
88    
89     The long range interactions between lipids are given by the following:
90     \begin{equation}
91     EQ Here
92     \label{lipidEq:LJpot}
93     \end{equation}
94     and
95     \begin{equation}
96     EQ Here
97     \label{lipidEq:dipolePot}
98     \end{equation}
99     Where $V_{\text{LJ}}$ is the Lennard-Jones potential and
100     $V_{\text{dipole}}$ is the dipole-dipole potential. As previously
101     stated, $\sigma_{ij}$ and $\epsilon_{ij}$ are the Lennard-Jones
102     parameters which scale the length and depth of the interaction
103     respectively, and $r_{ij}$ is the distance between beads $i$ and $j$.
104     In $V_{\text{dipole}}$, $\mathbf{r}_{ij}$ is the vector starting at
105     bead$i$ and pointing towards bead $j$. Vectors $\mathbf{\Omega}_i$
106     and $\mathbf{\Omega}_j$ are the orientational degrees of freedom for
107     beads $i$ and $j$. $|\mu_i|$ is the magnitude of the dipole moment of
108     $i$, and $\boldsymbol{\hat{u}}_i$ is the standard unit orientation
109     vector of $\boldsymbol{\Omega}_i$.
110    
111     The model also allows for the bonded interactions of bonds, bends, and
112     torsions. The bonds between two beads on a chain are of fixed length,
113     and are maintained according to the {\sc rattle} algorithm. \cite{fix}
114     The bends are subject to a harmonic potential:
115     \begin{equation}
116     eq here
117     \label{lipidEq:bendPot}
118     \end{equation}
119     where $fix$ scales the strength of the harmonic well, and $fix$ is the
120     angle between bond vectors $fix$ and $fix$. The torsion potential is
121     given by:
122     \begin{equation}
123     eq here
124     \label{lipidEq:torsionPot}
125     \end{equation}
126     Here, the parameters $k_0$, $k_1$, $k_2$, and $k_3$ fit the cosine
127     power series to the desired torsion potential surface, and $\phi$ is
128     the angle between bondvectors $fix$ and $fix$ along the vector $fix$
129     (see Fig.:\ref{lipidFig:lipidModel}). Long range interactions such as
130     the Lennard-Jones potential are excluded for bead pairs involved in
131     the same bond, bend, or torsion. However, internal interactions not
132     directly involved in a bonded pair are calculated.
133    
134