ViewVC Help
View File | Revision Log | Show Annotations | View Changeset | Root Listing
root/group/trunk/oopsePaper/DUFF.tex
(Generate patch)

Comparing trunk/oopsePaper/DUFF.tex (file contents):
Revision 716 by mmeineke, Sun Aug 24 04:00:44 2003 UTC vs.
Revision 740 by mmeineke, Tue Sep 2 18:40:47 2003 UTC

# Line 1 | Line 1
1  
2 < \section{\label{sec:DUFF}The DUFF Force Field}
2 > \section{\label{sec:DUFF}Dipolar Unified-Atom Force Field}
3  
4 < The DUFF (\underline{D}ipolar \underline{U}nified-atom
5 < \underline{F}orce \underline{F}ield) force field was developed to
6 < simulate lipid bilayer formation and equilibrium dynamics. We needed a
7 < model capable of forming bilaers, while still being sufficiently
8 < computationally efficient allowing simulations of large systems
9 < (\~100's of phospholipids, \~1000's of waters) for long times (\~10's
10 < of nanoseconds).
4 > The \underline{D}ipolar \underline{U}nified-Atom
5 > \underline{F}orce \underline{F}ield (DUFF) was developed to
6 > simulate lipid bilayers. We needed a model capable of forming
7 > bilayers, while still being sufficiently computationally efficient to
8 > allow simulations of large systems ($\approx$100's of phospholipids,
9 > $\approx$1000's of waters) for long times ($\approx$10's of
10 > nanoseconds).
11  
12 < With this goal in mind, we decided to eliminate all charged
13 < interactions within the force field. Charge distributions were
14 < replaced with dipolar entities, and charge neutral distributions were
15 < reduced to Lennard-Jones interaction sites. This simplification cuts
16 < the length scale of long range interactions from $\frac{1}{r}$ to
17 < $\frac{1}{r^3}$ (Eq.~\ref{eq:dipole} vs.~ Eq.~\ref{eq:coloumb}),
18 < allowing us to avoid the computationally expensive Ewald-Sum. Instead,
19 < we can use neighbor-lists and cutoff radii for the dipolar
20 < interactions.
12 > With this goal in mind, we have eliminated all point charges. Charge
13 > distributions were replaced with dipoles, and charge-neutral
14 > distributions were reduced to Lennard-Jones interaction sites. This
15 > simplification cuts the length scale of long range interactions from
16 > $\frac{1}{r}$ to $\frac{1}{r^3}$, allowing us to avoid the
17 > computationally expensive Ewald-Sum. Instead, we can use
18 > neighbor-lists and cutoff radii for the dipolar interactions.
19  
20 < \begin{align}
21 < V^{\text{dipole}}_{ij}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
22 <        \boldsymbol{\Omega}_{j}) &=
23 <        \frac{1}{4\pi\epsilon_{0}} \biggl[
24 <        \frac{\boldsymbol{\mu}_{i} \cdot \boldsymbol{\mu}_{j}}{r^{3}_{ij}}
25 <        -
26 <        \frac{3(\boldsymbol{\mu}_i \cdot \mathbf{r}_{ij}) %
27 <                (\boldsymbol{\mu}_j \cdot \mathbf{r}_{ij}) }
30 <                {r^{5}_{ij}} \biggr]\label{eq:dipole} \\
31 < V^{\text{ch}}_{ij}(\mathbf{r}_{ij}) &= \frac{q_{i}q_{j}}%
32 <        {4\pi\epsilon_{0} r_{ij}} \label{eq:coloumb}
33 < \end{align}
20 > As an example, lipid head groups in DUFF are represented as point
21 > dipole interaction sites.PC and PE Lipid head groups are typically
22 > zwitterionic in nature, with charges separated by as much as
23 > 6~$\mbox{\AA}$. By placing a dipole of 20.6~Debye at the head group
24 > center of mass, our model mimics the head group of PC.\cite{Cevc87}
25 > Additionally, a Lennard-Jones site is located at the
26 > pseudoatom's center of mass. The model is illustrated by the dark grey
27 > atom in Fig.~\ref{fig:lipidModel}.
28  
35 Applying this standard to the lipid model, we decided to represent the
36 lipid model as a point dipole interaction site. Lipid head groups are
37 typically zwitterionic in nature, with sometimes full integer charges
38 seperated by only 5 to 6~$\mbox{\AA}$. By placing a dipole of
39 20.6~Debye at the head groups center of mass, our model mimics the
40 dipole of DMPC.\cite{Cevc87} Then, to account for the steric henderanc
41 of the head group, a Lennard-Jones interaction site is also oacted at
42 the psuedoatom's center of mass. The model is illustrated in
43 Fig.~\ref{fig:lipidModel}.
44
29   \begin{figure}
30   \includegraphics[angle=-90,width=\linewidth]{lipidModel.epsi}
31   \caption{A representation of the lipid model. $\phi$ is the torsion angle, $\theta$ %
# Line 49 | Line 33 | is the bend angle, $\mu$ is the dipole moment of the h
33   \label{fig:lipidModel}
34   \end{figure}
35  
36 < Turning to the tail chains of the phospholipids, we needed a set of
37 < scalable parameters to model the alkyl groups as Lennard-Jones
38 < interaction sites. For this, we used the TraPPE force field of
39 < Siepmann \emph{et al}.\cite{Siepmann1998} The force field is a
40 < unified-atom representation of n-alkanes. It is parametrized against
41 < phase equilibria using Gibbs Monte Carlo simulation techniques. One of
42 < the advantages of TraPPE is that is generalizes the types of atoms in
43 < an alkyl chain to keep the number of pseudoatoms to a minimum.
44 < %( $ \mbox{CH_3} $ %-$\mathbf{\mbox{CH_2}}$-$\mbox{CH_3}$ is the same as
36 > The water model we use to complement the dipoles of the lipids is
37 > the soft sticky dipole (SSD) model of Ichiye \emph{et
38 > al.}\cite{liu96:new_model} This model is discussed in greater detail
39 > in Sec.~\ref{sec:SSD}. In all cases we reduce water to a single
40 > Lennard-Jones interaction site. The site also contains a dipole to
41 > mimic the partial charges on the hydrogens and the oxygen. However,
42 > what makes the SSD model unique is the inclusion of a tetrahedral
43 > short range potential to recover the hydrogen bonding of water, an
44 > important factor when modeling bilayers, as it has been shown that
45 > hydrogen bond network formation is a leading contribution to the
46 > entropic driving force towards lipid bilayer formation.\cite{Cevc87}
47  
62 Another advantage of using TraPPE is the constraining of all bonds to
63 be of fixed length. Typically, bond vibrations are the motions in a
64 molecular dynamic simulation. This neccesitates a small time step
65 between force evaluations be used to ensure adequate sampling of the
66 bond potential. Failure to do so will result in loss of energy
67 conservation within the microcanonical ensemble. By constraining this
68 degree of freedom, time steps larger than were previously allowable
69 are able to be used when integrating the equations of motion.
48  
49 < The main energy function in OOPSE is DUFF (the Dipolar Unified-atom
50 < Force Field). DUFF is a collection of parameters taken from Seipmann
51 < and Ichiye \emph{et
52 < al.}\cite{liu96:new_model} The total energy of interaction is given by
53 < Eq.~\ref{eq:totalPotential}:
49 > Turning to the tails of the phospholipids, we have used a set of
50 > scalable parameters to model the alkyl groups with Lennard-Jones
51 > sites. For this, we have used the TraPPE force field of Siepmann
52 > \emph{et al}.\cite{Siepmann1998} TraPPE is a unified-atom
53 > representation of n-alkanes, which is parametrized against phase
54 > equilibria using Gibbs Monte Carlo simulation
55 > techniques.\cite{Siepmann1998} One of the advantages of TraPPE is that
56 > it generalizes the types of atoms in an alkyl chain to keep the number
57 > of pseudoatoms to a minimum; the parameters for an atom such as
58 > $\text{CH}_2$ do not change depending on what species are bonded to
59 > it.
60 >
61 > TraPPE also constrains of all bonds to be of fixed length. Typically,
62 > bond vibrations are the fastest motions in a molecular dynamic
63 > simulation. Small time steps between force evaluations must be used to
64 > ensure adequate sampling of the bond potential conservation of
65 > energy. By constraining the bond lengths, larger time steps may be
66 > used when integrating the equations of motion.
67 >
68 >
69 > \subsection{\label{subSec:energyFunctions}DUFF Energy Functions}
70 >
71 > The total energy of function in DUFF is given by the following:
72   \begin{equation}
73 < V_{\text{Total}} =
74 <        \overbrace{V_{\theta} + V_{\phi}}^{\text{bonded}} +
75 <        \underbrace{V_{\text{LJ}} + V_{\text{Dp}} + %
80 <        V_{\text{SSD}}}_{\text{non-bonded}} \label{eq:totalPotential}
73 > V_{\text{Total}} = \sum^{N}_{I=1} V^{I}_{\text{Internal}}
74 >        + \sum^{N}_{I=1} \sum^{N}_{J=1} V^{IJ}_{\text{Cross}}
75 > \label{eq:totalPotential}
76   \end{equation}
77 + Where $V^{I}_{\text{Internal}}$ is the internal potential of a molecule:
78 + \begin{equation}
79 + V^{I}_{\text{Internal}} =
80 +        \sum_{\theta_{ijk} \in I} V_{\text{bend}}(\theta_{ijk})
81 +        + \sum_{\phi_{ijkl} \in I} V_{\text{torsion}}(\theta_{ijkl})
82 +        + \sum_{i \in I} \sum_{(j>i+4) \in I}
83 +        \biggl[ V_{\text{LJ}}(r_{ij}) +  V_{\text{dipole}}
84 +        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
85 +        \biggr]
86 + \label{eq:internalPotential}
87 + \end{equation}
88 + Here $V_{\text{bend}}$ is the bend potential for all 1, 3 bonded pairs
89 + within in the molecule. $V_{\text{torsion}}$ is the torsion The
90 + pairwise portions of the internal potential are excluded for pairs
91 + that ar closer than three bonds, i.e.~atom pairs farther away than a
92 + torsion are included in the pair-wise loop.
93  
94 < \subsection{Bonded Interactions}
95 < \label{subSec:bondedInteractions}
94 > The cross portion of the total potential, $V^{IJ}_{\text{Cross}}$, is
95 > as follows:
96 > \begin{equation}
97 > V^{IJ}_{\text{Cross}} =
98 >        \sum_{i \in I} \sum_{j \in J}
99 >        \biggl[ V_{\text{LJ}}(r_{ij}) +  V_{\text{dipole}}
100 >        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
101 >        + V_{\text{sticky}}
102 >        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
103 >        \biggr]
104 > \label{eq:crossPotentail}
105 > \end{equation}
106 > Where $V_{\text{LJ}}$ is the Lennard Jones potential,
107 > $V_{\text{dipole}}$ is the dipole dipole potential, and
108 > $V_{\text{sticky}}$ is the sticky potential defined by the SSD model.
109  
110 < The bonded interactions in the DUFF functional set are limited to the
87 < bend potential and the torsional potential. Bond potentials are not
88 < calculated, instead all bond lengths are fixed to allow for large time
89 < steps to be taken between force evaluations.
90 <
91 < The bend functional is of the form:
110 > The bend potential of a molecule is represented by the following function:
111   \begin{equation}
112 < V_{\theta} = \sum k_{\theta}( \theta - \theta_0 )^2 \label{eq:bendPot}
112 > V_{\theta_{ijk}} = k_{\theta}( \theta_{ijk} - \theta_0 )^2 \label{eq:bendPot}
113   \end{equation}
114 < $k_{\theta}$, the force constant, and $\theta_0$, the equilibrium bend
115 < angle, were taken from the TraPPE forcefield of Siepmann.
114 > Where $\theta_{ijk}$ is the angle defined by atoms $i$, $j$, and $k$
115 > (see Fig.~\ref{fig:lipidModel}), and $\theta_0$ is the equilibrium
116 > bond angle. $k_{\theta}$ is the force constant which determines the
117 > strength of the harmonic bend. The parameters for $k_{\theta}$ and
118 > $\theta_0$ are based off of those in TraPPE.\cite{Siepmann1998}
119  
120 < The torsion functional has the form:
120 > The torsion potential and parameters are also taken from TraPPE. It is
121 > of the form:
122   \begin{equation}
123 < V_{\phi} =  \sum ( k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0)
123 > V_{\text{torsion}}(\phi_{ijkl}) = c_1[1 + \cos \phi]
124 >        + c_2[1 + \cos(2\phi)]
125 >        + c_3[1 + \cos(3\phi)]
126 > \label{eq:origTorsionPot}
127 > \end{equation}
128 > Here $\phi_{ijkl}$ is the angle defined by four bonded neighbors $i$,
129 > $j$, $k$, and $l$ (again, see Fig.~\ref{fig:lipidModel}).  However,
130 > for computaional efficency, the torsion potentail has been recast
131 > after the method of CHARMM\cite{charmm1983} whereby the angle series
132 > is converted to a power series of the form:
133 > \begin{equation}
134 > V_{\text{torsion}}(\phi_{ijkl}) =  
135 >        k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0
136   \label{eq:torsionPot}
137   \end{equation}
138 < Here, the authors decided to use a potential in terms of a power
139 < expansion in $\cos \phi$ rather than the typical expansion in
140 < $\phi$. This prevents the need for repeated trigonemtric
141 < evaluations. Again, all $k_n$ constants were based on those in TraPPE.
138 > Where:
139 > \begin{align*}
140 > k_0 &= c_1 + c_3 \\
141 > k_1 &= c_1 - 3c_3 \\
142 > k_2 &= 2 c_2 \\
143 > k_3 &= 4c_3
144 > \end{align*}
145 > By recasting the equation to a power series, repeated trigonometric
146 > evaluations are avoided during the calculation of the potential.
147  
148 < \subsection{Non-Bonded Interactions}
109 < \label{subSec:nonBondedInteractions}
110 <
148 > The Lennard-Jones potential is given by:
149   \begin{equation}
150 < V_{\text{LJ}} = \text{internal + external}
150 > V_{\text{LJ}}(r_{ij}) =
151 >        4\epsilon_{ij} \biggl[
152 >        \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{12}
153 >        - \biggl(\frac{\sigma_{ij}}{r_{ij}}\biggr)^{6}
154 >        \biggr]
155 > \label{eq:lennardJonesPot}
156   \end{equation}
157 + Where $r_ij$ is the distance between atoms $i$ and $j$, $\sigma_{ij}$
158 + scales the length of the interaction, and $\epsilon_{ij}$ scales the
159 + energy of the potential.
160  
161 <
161 > The dipole-dipole potential has the following form:
162 > \begin{equation}
163 > V_{\text{dipole}}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
164 >        \boldsymbol{\Omega}_{j}) = \frac{1}{4\pi\epsilon_{0}} \biggl[
165 >        \frac{\boldsymbol{\mu}_{i} \cdot \boldsymbol{\mu}_{j}}{r^{3}_{ij}}
166 >        -
167 >        \frac{3(\boldsymbol{\mu}_i \cdot \mathbf{r}_{ij}) %
168 >                (\boldsymbol{\mu}_j \cdot \mathbf{r}_{ij}) }
169 >                {r^{5}_{ij}} \biggr]
170 > \label{eq:dipolePot}
171 > \end{equation}
172 > Here $\mathbf{r}_{ij}$ is the vector starting at atom $i$ pointing
173 > towards $j$, and $\boldsymbol{\Omega}_i$ and $\boldsymbol{\Omega}_j$
174 > are the Euler angles of atom $i$ and $j$
175 > respectively. $\boldsymbol{\mu}_i$ is the dipole vector of atom
176 > $i$ it takes its orientation from $\boldsymbol{\Omega}_i$.

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines