Downloads provided by UsageCounts
Hybrid vesicles consisting of natural phospholipids and synthetic amphiphilic copoly- mers have shown remarkable material properties and potential for biotechnology, com- bining the robustness of polymers with the biocompatibility of phospholipid mem- branes. To predict and optimize the mixing behavior of lipids and copolymers, as well as understand the interaction between the hybrid membrane and macromolecules like membrane proteins, a comprehensive understanding at the molecular level is essen- tial. This can be achieved by a combination of molecular dynamics simulations and experiments. Here, simulations of POPC and PBd22-b-PEO14 hybrid membranes are shown, uncovering different copolymer configurations depending on the polymer-to- lipid ratio. High polymer concentrations created thicker membranes with an extended polymer conformation, while high lipid content led to the collapse of the polymer chain. High concentration of polymer further correlated with a decreased area com- pression modulus and altered lateral pressure profiles, hypothesized to result in the experimentally-observed improvement in membrane protein reconstitution and resis- tance towards destabilization by detergents. Finally, simulations of a WALP peptide embedded in the bilayer showed that only membranes with up to 50% polymer con- tent favored a transmembrane configuration. These simulations correlate with previous and new experimental results and provide a deeper understanding of the properties of lipid-copolymer hybrid membranes.
Polymersomes, Martini, Polymers, Macromolecular Substances, Biomembranes, Lipid Bilayers, Liposomes, Membrane Proteins, Molecular Dynamics Simulation, Molecular Dynamics, Phospholipids
Polymersomes, Martini, Polymers, Macromolecular Substances, Biomembranes, Lipid Bilayers, Liposomes, Membrane Proteins, Molecular Dynamics Simulation, Molecular Dynamics, Phospholipids
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 29 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts