The membranes of Gram-negative bacteria: progress in molecular modelling and simulation
Syma Khalid1, Nils A Berglund1, Daniel A Holdbrook1
1*School of Chemistry, University of Southampton, Highfield, Southampton, SO17 1BJ, U.K.
Abstract:
Molecular modelling and simulations have been employed to study the membranes of Gram-negative bacteria for over 20 years. Proteins native to these membranes, as well as antimicrobial peptides and drug molecules have been studied using molecular dynamics simulations in simple models of membranes, usually only comprising one lipid species. Thus, traditionally, the simulations have reflected the majority of in vitro membrane experimental setups, enabling observations from the latter to be rationalized at the molecular level. In the last few years, the sophistication and complexity of membrane models have improved considerably, such that the heterogeneity of the lipid and protein composition of the membranes can now be considered both at the atomistic and coarse-grain levels of granularity. Importantly this means relevant biology is now being retained in the models, thereby linking the in silico and in vivo scenarios. We discuss recent progress in simulations of proteins in simple lipid bilayers, more complex membrane models and finally describe some efforts to overcome timescale limitations of atomistic molecular dynamics simulations of bacterial membranes.
More Related Videos
09:42Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
Published on: January 16, 2016
10:24Separation of the Cell Envelope for Gram-negative Bacteria into Inner and Outer Membrane Fractions with Technical Adjustments for Acinetobacter baumannii
Published on: April 10, 2020
Related Concept Videos
Bacterial Cell Wall
Inhibitors of Gram-positive Cell Wall Synthesis
Plasma Membrane in Bacteria and Archaea
Multi-pass Transmembrane Proteins and β-barrels
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
Fluid Mosaic Model
Peptidoglycan Synthesis
