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Updated: Aug 23, 2026

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
Published on: September 1, 2023
How environment supports a state: molecular dynamics simulations of two states in bacteriorhodopsin suggest lipid and
Hyunbum Jang1, Paul S Crozier, Mark J Stevens
1Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. hbj@groucho.med.jhmi.edu
Abstract:
The light-driven proton pump bacteriorhodopsin (bR) is a transmembrane protein that uses large conformational changes for proton transfer from the cytoplasmic to the extracellular regions. Crystal structures, due to their solvent conditions, do not resolve the effect of lipid molecules on these protein conformational changes. To begin to understand the molecular details behind such large conformational changes, we simulated two conformations of wild-type bacteriorhodopsin, one of the dark-adapted state and the second of an intermediate (M(O)) state, each within an explicit dimyristoyl-phosphatidylcholine (DMPC) lipid bilayer. The simulations included all-hydrogen and all-atom representations of protein, lipid, and water and were performed for 20 ns. We investigate the equilibrium properties and the dynamic motions of the two conformations in the lipid setting. We note that the conformational state of the M(O) intermediate bR remains markedly different from the dark-adapted bR state in that the M(O) intermediate shows rearrangement of the cytoplasmic portions of helices C, F, and G, and nearby loops. This difference in the states remained throughout the simulations, and the results are stable on the molecular dynamics timescale and provide an illustration of the changes in both lipid and water that help to stabilize a particular state. Our analysis focuses on how the environment adjusts to these two states and on how the dynamics of the helices, loops, and water molecules can be related to the pump mechanism of bacteriorhodopsin. For example, water generally behaves in the same manner on the extracellular sides of both simulations but is decreased in the cytoplasmic region of the M(O) intermediate. We suspect that the different water behavior is closely related to the fluctuations of microcavities volume in the protein interior, which is strongly coupled to the collective motion of the protein. Our simulation result suggests that experimental observation can be useful to verify a decreased number of waters in the cytoplasmic regions of the late-intermediate stages by measuring the rate of water exchange with the interior of the protein.
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