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# Content
1
2 \section{\label{sec:empericalEnergy}The Emperical Energy Functions}
3
4 \subsection{\label{sec:atomsMolecules}Atoms and Molecules}
5
6 The basic unit of an {\sc oopse} simulation is the atom. The parameters
7 describing the atom are generalized to make the atom as flexible a
8 representation as possible. They may represent specific atoms of an
9 element, or be used for collections of atoms such as a methyl
10 group. The atoms are also capable of having a directional component
11 associated with them, often in the form of a dipole. Charges on atoms
12 are not currently suporrted by {\sc oopse}.
13
14 The second most basic building block of a simulation is the
15 molecule. The molecule is a way for {\sc oopse} to keep track of the atoms
16 in a simulation in logical manner. This particular unit will store the
17 identities of all the atoms associated with itself and is responsible
18 for the evaluation of its own bonded interaction (i.e.~bonds, bends,
19 and torsions).
20
21 \subsection{\label{sec:DUFF}Dipolar Unified-Atom Force Field}
22
23 The \underline{D}ipolar \underline{U}nified-Atom
24 \underline{F}orce \underline{F}ield ({\sc duff}) was developed to
25 simulate lipid bilayers. We needed a model capable of forming
26 bilayers, while still being sufficiently computationally efficient to
27 allow simulations of large systems ($\approx$100's of phospholipids,
28 $\approx$1000's of waters) for long times ($\approx$10's of
29 nanoseconds).
30
31 With this goal in mind, we have eliminated all point charges. Charge
32 distributions were replaced with dipoles, and charge-neutral
33 distributions were reduced to Lennard-Jones interaction sites. This
34 simplification cuts the length scale of long range interactions from
35 $\frac{1}{r}$ to $\frac{1}{r^3}$, allowing us to avoid the
36 computationally expensive Ewald-Sum. Instead, we can use
37 neighbor-lists and cutoff radii for the dipolar interactions.
38
39 As an example, lipid head groups in {\sc duff} are represented as point
40 dipole interaction sites.PC and PE Lipid head groups are typically
41 zwitterionic in nature, with charges separated by as much as
42 6~$\mbox{\AA}$. By placing a dipole of 20.6~Debye at the head group
43 center of mass, our model mimics the head group of PC.\cite{Cevc87}
44 Additionally, a Lennard-Jones site is located at the
45 pseudoatom's center of mass. The model is illustrated by the dark grey
46 atom in Fig.~\ref{fig:lipidModel}.
47
48 \begin{figure}
49 \epsfxsize=6in
50 \epsfbox{lipidModel.epsi}
51 \caption{A representation of the lipid model. $\phi$ is the torsion angle, $\theta$ %
52 is the bend angle, $\mu$ is the dipole moment of the head group, and n is the chain length.}
53 \label{fig:lipidModel}
54 \end{figure}
55
56 The water model we use to complement the dipoles of the lipids is
57 the soft sticky dipole (SSD) model of Ichiye \emph{et
58 al.}\cite{liu96:new_model} This model is discussed in greater detail
59 in Sec.~\ref{sec:SSD}. In all cases we reduce water to a single
60 Lennard-Jones interaction site. The site also contains a dipole to
61 mimic the partial charges on the hydrogens and the oxygen. However,
62 what makes the SSD model unique is the inclusion of a tetrahedral
63 short range potential to recover the hydrogen bonding of water, an
64 important factor when modeling bilayers, as it has been shown that
65 hydrogen bond network formation is a leading contribution to the
66 entropic driving force towards lipid bilayer formation.\cite{Cevc87}
67
68
69 Turning to the tails of the phospholipids, we have used a set of
70 scalable parameters to model the alkyl groups with Lennard-Jones
71 sites. For this, we have used the TraPPE force field of Siepmann
72 \emph{et al}.\cite{Siepmann1998} TraPPE is a unified-atom
73 representation of n-alkanes, which is parametrized against phase
74 equilibria using Gibbs Monte Carlo simulation
75 techniques.\cite{Siepmann1998} One of the advantages of TraPPE is that
76 it generalizes the types of atoms in an alkyl chain to keep the number
77 of pseudoatoms to a minimum; the parameters for an atom such as
78 $\text{CH}_2$ do not change depending on what species are bonded to
79 it.
80
81 TraPPE also constrains of all bonds to be of fixed length. Typically,
82 bond vibrations are the fastest motions in a molecular dynamic
83 simulation. Small time steps between force evaluations must be used to
84 ensure adequate sampling of the bond potential conservation of
85 energy. By constraining the bond lengths, larger time steps may be
86 used when integrating the equations of motion.
87
88
89 \subsubsection{\label{subSec:energyFunctions}{\sc duff} Energy Functions}
90
91 The total energy of function in {\sc duff} is given by the following:
92 \begin{equation}
93 V_{\text{Total}} = \sum^{N}_{I=1} V^{I}_{\text{Internal}}
94 + \sum^{N}_{I=1} \sum^{N}_{J=1} V^{IJ}_{\text{Cross}}
95 \label{eq:totalPotential}
96 \end{equation}
97 Where $V^{I}_{\text{Internal}}$ is the internal potential of a molecule:
98 \begin{equation}
99 V^{I}_{\text{Internal}} =
100 \sum_{\theta_{ijk} \in I} V_{\text{bend}}(\theta_{ijk})
101 + \sum_{\phi_{ijkl} \in I} V_{\text{torsion}}(\theta_{ijkl})
102 + \sum_{i \in I} \sum_{(j>i+4) \in I}
103 \biggl[ V_{\text{LJ}}(r_{ij}) + V_{\text{dipole}}
104 (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
105 \biggr]
106 \label{eq:internalPotential}
107 \end{equation}
108 Here $V_{\text{bend}}$ is the bend potential for all 1, 3 bonded pairs
109 within in the molecule. $V_{\text{torsion}}$ is the torsion The
110 pairwise portions of the internal potential are excluded for pairs
111 that ar closer than three bonds, i.e.~atom pairs farther away than a
112 torsion are included in the pair-wise loop.
113
114 The cross portion of the total potential, $V^{IJ}_{\text{Cross}}$, is
115 as follows:
116 \begin{equation}
117 V^{IJ}_{\text{Cross}} =
118 \sum_{i \in I} \sum_{j \in J}
119 \biggl[ V_{\text{LJ}}(r_{ij}) + V_{\text{dipole}}
120 (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
121 + V_{\text{sticky}}
122 (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
123 \biggr]
124 \label{eq:crossPotentail}
125 \end{equation}
126 Where $V_{\text{LJ}}$ is the Lennard Jones potential,
127 $V_{\text{dipole}}$ is the dipole dipole potential, and
128 $V_{\text{sticky}}$ is the sticky potential defined by the SSD model.
129
130 The bend potential of a molecule is represented by the following function:
131 \begin{equation}
132 V_{\theta_{ijk}} = k_{\theta}( \theta_{ijk} - \theta_0 )^2 \label{eq:bendPot}
133 \end{equation}
134 Where $\theta_{ijk}$ is the angle defined by atoms $i$, $j$, and $k$
135 (see Fig.~\ref{fig:lipidModel}), and $\theta_0$ is the equilibrium
136 bond angle. $k_{\theta}$ is the force constant which determines the
137 strength of the harmonic bend. The parameters for $k_{\theta}$ and
138 $\theta_0$ are based off of those in TraPPE.\cite{Siepmann1998}
139
140 The torsion potential and parameters are also taken from TraPPE. It is
141 of the form:
142 \begin{equation}
143 V_{\text{torsion}}(\phi_{ijkl}) = c_1[1 + \cos \phi]
144 + c_2[1 + \cos(2\phi)]
145 + c_3[1 + \cos(3\phi)]
146 \label{eq:origTorsionPot}
147 \end{equation}
148 Here $\phi_{ijkl}$ is the angle defined by four bonded neighbors $i$,
149 $j$, $k$, and $l$ (again, see Fig.~\ref{fig:lipidModel}). However,
150 for computaional efficency, the torsion potentail has been recast
151 after the method of CHARMM\cite{charmm1983} whereby the angle series
152 is converted to a power series of the form:
153 \begin{equation}
154 V_{\text{torsion}}(\phi_{ijkl}) =
155 k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0
156 \label{eq:torsionPot}
157 \end{equation}
158 Where:
159 \begin{align*}
160 k_0 &= c_1 + c_3 \\
161 k_1 &= c_1 - 3c_3 \\
162 k_2 &= 2 c_2 \\
163 k_3 &= 4c_3
164 \end{align*}
165 By recasting the equation to a power series, repeated trigonometric
166 evaluations are avoided during the calculation of the potential.
167
168 The Lennard-Jones potential is given by:
169 \begin{equation}
170 V_{\text{LJ}}(r_{ij}) =
171 4\epsilon_{ij} \biggl[
172 \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{12}
173 - \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{6}
174 \biggr]
175 \label{eq:lennardJonesPot}
176 \end{equation}
177 Where $r_ij$ is the distance between atoms $i$ and $j$, $\sigma_{ij}$
178 scales the length of the interaction, and $\epsilon_{ij}$ scales the
179 energy of the potential.
180
181 The dipole-dipole potential has the following form:
182 \begin{equation}
183 V_{\text{dipole}}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
184 \boldsymbol{\Omega}_{j}) = \frac{1}{4\pi\epsilon_{0}} \biggl[
185 \frac{\boldsymbol{\mu}_{i} \cdot \boldsymbol{\mu}_{j}}{r^{3}_{ij}}
186 -
187 \frac{3(\boldsymbol{\mu}_i \cdot \mathbf{r}_{ij}) %
188 (\boldsymbol{\mu}_j \cdot \mathbf{r}_{ij}) }
189 {r^{5}_{ij}} \biggr]
190 \label{eq:dipolePot}
191 \end{equation}
192 Here $\mathbf{r}_{ij}$ is the vector starting at atom $i$ pointing
193 towards $j$, and $\boldsymbol{\Omega}_i$ and $\boldsymbol{\Omega}_j$
194 are the Euler angles of atom $i$ and $j$
195 respectively. $\boldsymbol{\mu}_i$ is the dipole vector of atom
196 $i$ it takes its orientation from $\boldsymbol{\Omega}_i$.
197
198
199 \subsection{\label{sec:SSD}Water Model: SSD and Derivatives}
200
201 In the interest of computational efficiency, the native solvent used
202 in {\sc oopse} is the Soft Sticky Dipole (SSD) water model. SSD was
203 developed by Ichiye \emph{et al.} as a modified form of the
204 hard-sphere water model proposed by Bratko, Blum, and
205 Luzar.\cite{Bratko85,Bratko95} It consists of a single point dipole
206 with a Lennard-Jones core and a sticky potential that directs the
207 particles to assume the proper hydrogen bond orientation in the first
208 solvation shell. Thus, the interaction between two SSD water molecules
209 \emph{i} and \emph{j} is given by the potential
210 \begin{equation}
211 u_{ij} = u_{ij}^{LJ} (r_{ij})\ + u_{ij}^{dp}
212 (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)\ +
213 u_{ij}^{sp}
214 (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j),
215 \end{equation}
216 where the $\mathbf{r}_{ij}$ is the position vector between molecules
217 \emph{i} and \emph{j} with magnitude equal to the distance $r_ij$, and
218 $\boldsymbol{\Omega}_i$ and $\boldsymbol{\Omega}_j$ represent the
219 orientations of the respective molecules. The Lennard-Jones, dipole,
220 and sticky parts of the potential are giving by the following
221 equations,
222 \begin{equation}
223 u_{ij}^{LJ}(r_{ij}) = 4\epsilon \left[\left(\frac{\sigma}{r_{ij}}\right)^{12}-\left(\frac{\sigma}{r_{ij}}\right)^{6}\right],
224 \end{equation}
225 \begin{equation}
226 u_{ij}^{dp} = \frac{\boldsymbol{\mu}_i\cdot\boldsymbol{\mu}_j}{r_{ij}^3}-\frac{3(\boldsymbol{\mu}_i\cdot\mathbf{r}_{ij})(\boldsymbol{\mu}_j\cdot\mathbf{r}_{ij})}{r_{ij}^5}\ ,
227 \end{equation}
228 \begin{equation}
229 \begin{split}
230 u_{ij}^{sp}
231 (\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)
232 &=
233 \frac{\nu_0}{2}[s(r_{ij})w(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)\\
234 & \quad \ +
235 s^\prime(r_{ij})w^\prime(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)]\ ,
236 \end{split}
237 \end{equation}
238 where $\boldsymbol{\mu}_i$ and $\boldsymbol{\mu}_j$ are the dipole
239 unit vectors of particles \emph{i} and \emph{j} with magnitude 2.35 D,
240 $\nu_0$ scales the strength of the overall sticky potential, $s$ and
241 $s^\prime$ are cubic switching functions. The $w$ and $w^\prime$
242 functions take the following forms,
243 \begin{equation}
244 w(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j)=\sin\theta_{ij}\sin2\theta_{ij}\cos2\phi_{ij},
245 \end{equation}
246 \begin{equation}
247 w^\prime(\mathbf{r}_{ij},\boldsymbol{\Omega}_i,\boldsymbol{\Omega}_j) = (\cos\theta_{ij}-0.6)^2(\cos\theta_{ij}+0.8)^2-w^0,
248 \end{equation}
249 where $w^0 = 0.07715$. The $w$ function is the tetrahedral attractive
250 term that promotes hydrogen bonding orientations within the first
251 solvation shell, and $w^\prime$ is a dipolar repulsion term that
252 repels unrealistic dipolar arrangements within the first solvation
253 shell. A more detailed description of the functional parts and
254 variables in this potential can be found in other
255 articles.\cite{liu96:new_model,chandra99:ssd_md}
256
257 Since SSD is a one-site point dipole model, the force calculations are
258 simplified significantly from a computational standpoint, in that the
259 number of long-range interactions is dramatically reduced. In the
260 original Monte Carlo simulations using this model, Ichiye \emph{et
261 al.} reported a calculation speed up of up to an order of magnitude
262 over other comparable models while maintaining the structural behavior
263 of water.\cite{liu96:new_model} In the original molecular dynamics studies of
264 SSD, it was shown that it actually improves upon the prediction of
265 water's dynamical properties over TIP3P and SPC/E.\cite{chandra99:ssd_md}
266
267 Recent constant pressure simulations revealed issues in the original
268 SSD model that led to lower than expected densities at all target
269 pressures.\cite{Ichiye03,Gezelter04} Reparameterizations of the
270 original SSD have resulted in improved density behavior, as well as
271 alterations in the water structure and transport behavior. {\sc oopse} is
272 easily modified to impliment these new potential parameter sets for
273 the derivative water models: SSD1, SSD/E, and SSD/RF. All of the
274 variable parameters are listed in the accompanying BASS file, and
275 these parameters simply need to be changed to the updated values.
276
277
278 \subsection{\label{sec:eam}Embedded Atom Model}
279
280 here there be Monsters