亲缘关系
膜
钙粘蛋白
分子动力学
蒙特卡罗方法
化学
分子
结合亲和力
生物物理学
物理
受体
细胞
生物
计算化学
立体化学
数学
量子力学
生物化学
统计
作者
Yinghao Wu,Jérémie Vendôme,Lawrence Shapiro,Avinoam Ben‐Shaul,Barry Honig
出处
期刊:Nature
[Springer Nature]
日期:2011-07-01
卷期号:475 (7357): 510-513
被引量:213
摘要
Relating the strengths of interactions occurring in two dimensions on membrane surfaces to those measured in three dimensions in solution is a perennial problem in cell biology. Barry Honig and colleagues use a computational and theoretical approach that enables a new type of structurally- and biophysically-driven analysis of processes that occur on cell surfaces. Applying this approach to cadherin-mediated cell adhesion reveals novel principles about how cell–cell interactions drive receptor clustering on membrane surfaces. Membrane-bound receptors often form large assemblies resulting from binding to soluble ligands, cell-surface molecules on other cells and extracellular matrix proteins1. For example, the association of membrane proteins with proteins on different cells (trans-interactions) can drive the oligomerization of proteins on the same cell2 (cis-interactions). A central problem in understanding the molecular basis of such phenomena is that equilibrium constants are generally measured in three-dimensional solution and are thus difficult to relate to the two-dimensional environment of a membrane surface. Here we present a theoretical treatment that converts three-dimensional affinities to two dimensions, accounting directly for the structure and dynamics of the membrane-bound molecules. Using a multiscale simulation approach, we apply the theory to explain the formation of ordered, junction-like clusters by classical cadherin adhesion proteins. The approach features atomic-scale molecular dynamics simulations to determine interdomain flexibility, Monte Carlo simulations of multidomain motion and lattice simulations of junction formation3. A finding of general relevance is that changes in interdomain motion on trans-binding have a crucial role in driving the lateral, cis-, clustering of adhesion receptors.
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