2016
DOI: 10.1103/physrevlett.117.138103
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Symmetry and Size of Membrane Protein Polyhedral Nanoparticles

Abstract: In recent experiments [T. Basta et al., Proc. Natl. Acad. Sci. U.S. A. 111, 670 (2014)] lipids and membrane proteins were observed to self-assemble into membrane protein polyhedral nanoparticles (MPPNs) with a well-defined polyhedral protein arrangement and characteristic size. We develop a model of MPPN self-assembly in which the preferred symmetry and size of MPPNs emerge from the interplay of protein-induced lipid bilayer deformations, topological defects in protein packing, and thermal effects. With all mo… Show more

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Cited by 7 publications
(45 citation statements)
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“…We provide general analytic solutions for the dependence of the MPPN energy on bilayer-protein hydrophobic thickness mismatch and, on this basis, calculate a generalized MPPN self-assembly diagram. Our results suggest that, in addition to the bilayerprotein contact angle [5], the bilayer-protein hydrophobic thickness mismatch is a key molecular control parameter for MPPN shape. In particular, we find that modification of the lipid bilayer composition, or protein hydrophobic thickness, so as to produce pronounced protein-induced lipid bilayer thickness deformations biases the MPPN selfassembly diagram towards highly symmetric and uniform MPPN shapes.…”
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confidence: 97%
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“…We provide general analytic solutions for the dependence of the MPPN energy on bilayer-protein hydrophobic thickness mismatch and, on this basis, calculate a generalized MPPN self-assembly diagram. Our results suggest that, in addition to the bilayerprotein contact angle [5], the bilayer-protein hydrophobic thickness mismatch is a key molecular control parameter for MPPN shape. In particular, we find that modification of the lipid bilayer composition, or protein hydrophobic thickness, so as to produce pronounced protein-induced lipid bilayer thickness deformations biases the MPPN selfassembly diagram towards highly symmetric and uniform MPPN shapes.…”
mentioning
confidence: 97%
“…Realization of MPPNs as a novel method for membrane protein structural analysis, as well as targeted drug delivery, requires [1] control over MPPN symmetry and size. Current experimental approaches, however, yield a distribution of different MPPN shapes [1,5], which limits the …”
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confidence: 99%
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