2009
DOI: 10.1016/j.sbi.2009.03.001
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Systematic multiscale simulation of membrane protein systems

Abstract: Summary of Recent Advances Current multiscale simulation approaches for membrane protein systems vary depending on their degree of connection to the underlying molecular scale interactions. Various approaches have been developed that include such information into coarse-grained models of both the membrane and the proteins. By contrast, other approaches employ parameterizations obtained from experimental data. Mesoscopic models operate at larger scales and have also been employed to examine membrane remodeling,… Show more

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Cited by 93 publications
(82 citation statements)
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“…Therefore, the use of fully atomistic methods is impractical. A number of CG models have been proposed to overcome this challenge (19)(20)(21)(22)(23). The MARTINI CG model (19,20) used here (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the use of fully atomistic methods is impractical. A number of CG models have been proposed to overcome this challenge (19)(20)(21)(22)(23). The MARTINI CG model (19,20) used here (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…To cope with the multiple length-scale problem of complex protein systems, several multiscale-modeling methods have been proposed, which partition a complex system in different space regions with varying degree of chemical resolution defined in an ad hoc fashion prior to the simulation. They rely on the idea of coupling theoretical methods with different levels of coarsegraining, i.e., quantum, atomistic, mesoscopic, or continuumscale approaches, [23][24][25][26][27] within one simulation method. However, such techniques generally lack transferability, because they are specifically adapted to the nature of the physical problem under consideration and, thus, are not suitable for reproducing the multiscale relaxation dynamics of complex protein systems far from equilibrium.…”
Section: Introductionmentioning
confidence: 99%
“…More generally, the way the membrane solvates other components, such as membrane proteins, and even mediates their interactions with each other will be affected by these intrinsic properties. Specific consequences of this latter point are less well understood, but computational modeling methods suitable to examine such problems are emerging [34][35][36] .In one intriguing example, a recent computational study of the A 2A G protein-coupled receptor in membrane environments reveals a structural instability of helix II in cholesterolpoor membranes. Cholesterol interaction apparently stabilizes this helix and has been proposed as a possible explanation for the observation that the A 2A receptor couples to G protein only in the presence of cholesterol 37 .…”
mentioning
confidence: 99%