Schneider Christian M, de Arcangelis Lucilla, Herrmann Hans J
Computational Physics, IfB, ETH Zurich, Zurich, Switzerland.
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jul;84(1 Pt 2):016112. doi: 10.1103/PhysRevE.84.016112. Epub 2011 Jul 26.
A major issue in biology is the understanding of the interactions between proteins. These interactions can be described by a network, where the proteins are modeled by nodes and the interactions by edges. The origin of these protein networks is not well understood yet. Here we present a two-step model, which generates clusters with the same topological properties as networks for protein-protein interactions, namely, the same degree distribution, cluster size distribution, clustering coefficient, and shortest path length. The biological and model networks are not scale-free but exhibit small-world features. The model allows the fitting of different biological systems by tuning a single parameter.
生物学中的一个主要问题是对蛋白质之间相互作用的理解。这些相互作用可以用一个网络来描述，其中蛋白质由节点建模，相互作用由边建模。这些蛋白质网络的起源尚未得到很好的理解。在这里，我们提出了一个两步模型，该模型生成的簇具有与蛋白质-蛋白质相互作用网络相同的拓扑特性，即相同的度分布、簇大小分布、聚类系数和最短路径长度。生物网络和模型网络不是无标度的，而是呈现出小世界特征。该模型通过调整单个参数来拟合不同的生物系统。
