Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-28T20:09:23.501Z Has data issue: false hasContentIssue false
  • English
  • Français

Coarse Grained Molecular Dynamic Simulations of the interaction a Carbon Nanotube with a Bilayer Membrane

Published online by Cambridge University Press:  24 April 2017

Rangeen Salih  and
Clarence C Matthai
Rangeen Salih
Affiliation:
School of Physics and Astronomy, Cardiff University, Cardiff, UK
Clarence C Matthai*
Affiliation:
School of Physics and Astronomy, Cardiff University, Cardiff, UK
*
*(Email: matthai@astro.cf.ac.uk)
Get access

Abstract

In coarse grained molecular dynamics (CGMD) simulations, small groups of atoms are treated as single particles (beads) and the forces between these particles are derived from the interatomic forces. The effect of this is to severely reduce the number of particles in a simulation, thereby allowing for the consideration of a larger number of atoms. It has also proven to be a valuable tool in probing time and length scales of systems beyond that used in all-atom molecular dynamics (AAMD) simulations. The down side of this is that the inter-particle interactions are less accurate. However, if these coarse grained particles are chosen carefully, such simulations can provide much useful information. There are different levels of how the coarse grains are constructed. For example, CG systems have been developed using tens or hundreds of atoms per CG bead in some studies of amino acids in biological science. By contrast, for other systems, a single CG bead is used to replace just two or three atoms.

In this paper, the interaction of a carbon nanotube (CNT) with a lipid bilayer membrane is studied using both coarse grained and atomistic MD in an effort to understand the usefulness of the CGMD method for such simulations. Our preliminary studies of the interaction of a CNT with a lipid bilayer points indicates that such nano-tubes inserted into a membrane could be stable. This means that it could be used as an agent in the delivery of drugs. It would be good if these simulations could be repeated using AAMD simulations to confirm the validity of these results.

Keywords

simulationnanostructurebiological
Type
Articles
Information
MRS Advances , Volume 2 , Issue 48: Characterization, Theory and Modeling , 2017 , pp. 2603 - 2608
Copyright
Copyright © Materials Research Society 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Porter, A. E., Gass, M., Bendall, J. S., Muller, K. and Goode, A., ACS Nano, 3, 1485 (2009).CrossRefGoogle Scholar
Wong-Ekkabut, J., et al. , Nat. Nanotech. 3, 363 (2008).CrossRefGoogle Scholar
Kostarelos, K., Bianco, A. and Prato, M., Nat. Nanotech. 4, 627 (2009).Google Scholar
Gburski, Z., Gorny, K. and Raczynskii, P., Solid State Commun. 150, 415 (2010).CrossRefGoogle Scholar
Phillips, J. C. et al. , J. Comput. Chem. 26, 1781 (2005).Google Scholar
Humphrey, W., Dalke, A. and Schulten, K., J. Mol. Graph. 14, 33 (1996).CrossRefGoogle Scholar
Marrink, S. J., et al. , J. Phys. Chem. B 111, 7812 (2007).Google Scholar
Monticelli, L., Chem, J.. Theory Comput. 8, 1370, (2012).Google Scholar
Salih, R. O. and Matthai, C. C., J. Chem. Phys. 146, 105101 (2017).CrossRefGoogle Scholar
Kucerka, N., Tristram-Nagle, S. and Nagle, J. F. J. Membr. Biol. 208, 193 (2006).Google Scholar