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Controlling Styrene Maleic Acid Lipid Particles through RAFT
Biomacromolecules ( IF 5.5 ) Pub Date : 2017-10-09 00:00:00 , DOI: 10.1021/acs.biomac.7b01136
Anton A. A. Smith 1, 2 , Henriette E. Autzen 2, 3 , Tomas Laursen 4 , Vincent Wu 1 , Max Yen 1 , Aaron Hall 1 , Scott D. Hansen 5 , Yifan Cheng 3 , Ting Xu 1
Affiliation  

The ability of styrene maleic acid copolymers to dissolve lipid membranes into nanosized lipid particles is a facile method of obtaining membrane proteins in solubilized lipid discs while conserving part of their native lipid environment. While the currently used copolymers can readily extract membrane proteins in native nanodiscs, their highly disperse composition is likely to influence the dispersity of the discs as well as the extraction efficiency. In this study, reversible addition–fragmentation chain transfer was used to control the polymer architecture and dispersity of molecular weights with a high-precision. Based on Monte Carlo simulations of the polymerizations, the monomer composition was predicted and allowed a structure–function analysis of the polymer architecture, in relation to their ability to assemble into lipid nanoparticles. We show that a higher degree of control of the polymer architecture generates more homogeneous samples. We hypothesize that low dispersity copolymers, with control of polymer architecture are an ideal framework for the rational design of polymers for customized isolation and characterization of integral membrane proteins in native lipid bilayer systems.

中文翻译:

通过RAFT控制苯乙烯马来酸脂质颗粒

苯乙烯马来酸共聚物将脂质膜溶解成纳米级脂质颗粒的能力是一种在溶解的脂质盘中获得膜蛋白同时又保留其天然脂质环境的一部分的简便方法。尽管当前使用的共聚物可以很容易地在天然纳米圆盘中提取膜蛋白,但它们的高度分散组成可能会影响圆盘的分散性以及提取效率。在这项研究中,可逆的加成-断裂链转移用于高精度地控制聚合物的结构和分子量的分散性。基于聚合反应的蒙特卡洛模拟,可以预测单体组成,并可以对聚合物结构进行结构-功能分析,以分析其组装成脂质纳米颗粒的能力。我们表明,对聚合物结构的更高程度的控制会产生更多的均质样品。我们假设控制聚合物结构的低分散性共聚物是合理设计聚合物的理想框架,以合理设计用于定制分离和表征天然脂质双层系统中完整膜蛋白的聚合物。
更新日期:2017-10-09
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