Saxton M J
Institute of Theoretical Dynamics, University of California, Davis 95616.
Biophys J. 1992 Jan;61(1):119-28. doi: 10.1016/S0006-3495(92)81821-0.
Aggregation in a lipid bilayer is modeled as cluster-cluster aggregation on a square lattice. In the model, clusters carry out a random walk on the lattice, with a diffusion coefficient inversely proportional to mass. On contact, they adhere with a prescribed probability, rigidly and irreversibly. Monte Carlo calculations show that, as expected, rotational diffusion of the aggregating species is highly sensitive to the initial stages of aggregation. Lateral diffusion of an inert tracer obstructed by the aggregate is a sensitive probe of the later stages of aggregation. Cluster-cluster aggregates are much more effective barriers to lateral diffusion of an inert tracer than the same area fraction of random point obstacles is, but random point obstacles are more effective barriers than the same area fraction of compact obstacles. The effectiveness of aggregates as obstacles is discussed in terms of particle-particle correlation functions and fractal dimensions. Results are applicable to aggregation of membrane proteins, and at least qualitatively to aggregation of gel-phase lipid during lateral phase separation.
脂质双层中的聚集被建模为方形晶格上的簇-簇聚集。在该模型中,簇在晶格上进行随机游走,扩散系数与质量成反比。接触时,它们以规定的概率刚性且不可逆地粘附。蒙特卡罗计算表明,正如预期的那样,聚集物种的旋转扩散对聚集的初始阶段高度敏感。被聚集体阻碍的惰性示踪剂的横向扩散是聚集后期的敏感探针。与相同面积分数的随机点障碍物相比,簇-簇聚集体对惰性示踪剂横向扩散的阻碍作用要大得多,但随机点障碍物比相同面积分数的紧密障碍物更有效地起到阻碍作用。从粒子-粒子相关函数和分形维数的角度讨论了聚集体作为障碍物的有效性。结果适用于膜蛋白的聚集,并且至少定性地适用于横向相分离过程中凝胶相脂质的聚集。