Centre Européen de Calcul Atomique et Moléculaire, 46 Allée d'Italie, 69364 Lyon, France.
Faraday Discuss. 2010;144:359-67; discussion 445-81. doi: 10.1039/b902190f.
We propose a computational framework to study the lipid-mediated clustering of integral membrane proteins. Our method employs a hierarchical approach. The potential of mean force (PMF) of two interacting proteins is computed under a coarse-grained 3-D model that successfully describes the structural properties of reconstituted lipid bilayers of dymiristoylphophatidylcholine (DMPC) molecules. Subsequently, a 2-D model is adopted, where proteins represented as self-avoiding disks interact through the previously computed PMF, which is modified to take into account three body corrections. The aggregation of the proteins is extensively studied under the condition of negative hydrophobic mismatch: the formation of clusters with increasing size agrees with previous computational and experimental findings.
我们提出了一个计算框架来研究脂介导的整合膜蛋白聚类。我们的方法采用了分层方法。在一个粗粒度的 3D 模型下计算了两个相互作用的蛋白质之间的平均力势能(PMF),该模型成功地描述了重新构建的二硬脂酰磷脂酰胆碱(DMPC)分子的脂质双层的结构特性。随后,采用了一个 2D 模型,其中将蛋白质表示为自回避圆盘,通过先前计算的 PMF 相互作用,该 PMF 经过修正以考虑三体校正。在负疏水失配的条件下,对蛋白质的聚集进行了广泛的研究:随着尺寸的增加,形成了具有越来越大的簇,这与以前的计算和实验结果一致。