| 1 |
mmeineke |
764 |
|
| 2 |
|
|
|
| 3 |
|
|
\section{\label{sec:lipidIntro}Introduction} |
| 4 |
|
|
|
| 5 |
|
|
The main focus in this research has been the development of a model |
| 6 |
|
|
for phospholipid simulations, specifically one capable of forming |
| 7 |
|
|
lipid bilayers. in the past, researchers have approached this problem |
| 8 |
|
|
from two different approaches. The first, is complete specification of |
| 9 |
|
|
a factual phospholipid, an all-atom model. All-atom models have been |
| 10 |
mmeineke |
766 |
used with success in systems of ({\color{red} LIST OF |
| 11 |
|
|
CITATIONS}). These simulations have been limited in their size and |
| 12 |
|
|
time scales due to the amount od information calculated at every |
| 13 |
|
|
integration step. Typically these simulations have $\sim64$~lipids |
| 14 |
|
|
with roughly 25~waters for every |
| 15 |
|
|
lipid\cite{saiz02,lindahl00,venable00,Marrink01}. This means there are |
| 16 |
|
|
on the order of 8,000 atoms needed to simulate these systems. The |
| 17 |
|
|
amount of calculation required limits the length of time all-atom |
| 18 |
|
|
simulations may run. Processor power is continually increasing, however, these simulations typically run for times up to 10~ns.{\color{red}CITE ME} |
| 19 |
|
|
|
| 20 |
|
|
A second popular approach is to the phospholipid |