Molecular dynamics study of the lipid bilayers: Effects of the chain branching on the structure and dynamics

W. Shinoda, M. Mikami, T. Baba, M. Hato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We studied effects of lipid chain branching on structural and dynamical properties of the lipid bilayers by a comparative molecular dynamics simulation of dipalmitoyl phosphatidylcholine (DPPC) and diphytanoyl phosphatidylcholine (DPhPC) bilayers. Trans-gauche isomerization rate at the dihedrals along the hydrophobic main chain was significantly reduced by chain branching. The slower conformational motion of branched chains lead to slower wobbling of the chain and slower rotational and translational motions of the lipid molecules, compared with straight-chained counterpart. In contrast, headgroup motion was slightly enhanced by the chain branching. The slower dynamics of the branched hydrophobic chains accounts for the high structural bilayer stability and low solute permeability of the branched DPhPC bilayer.

Original languageEnglish
Title of host publicationSlow Dynamics in Complex Systems
Subtitle of host publication3rd International Symposium on Slow Dynamics in Complex Systems
EditorsMichio Tokuyama, Irwin Oppenheim
PublisherAmerican Institute of Physics Inc.
Pages352-353
Number of pages2
ISBN (Electronic)0735401837
DOIs
Publication statusPublished - Apr 30 2004
Externally publishedYes
Event3rd International Symposium on Slow Dynamics in Complex Systems - Sendai, Japan
Duration: Nov 3 2003Nov 8 2003

Publication series

NameAIP Conference Proceedings
Volume708
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium on Slow Dynamics in Complex Systems
Country/TerritoryJapan
CitySendai
Period11/3/0311/8/03

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Molecular dynamics study of the lipid bilayers: Effects of the chain branching on the structure and dynamics'. Together they form a unique fingerprint.

Cite this