Mathematical modeling of transcriptional regulatory networks based on bipartite graphs.

构建了ncrna -蛋白质相互作用网络，分析了其大规模组织结构和局部相互作用结构。此外，还提出了一个包含多种生物机制的二部图进化模型。我们还通过使用优化算法研究了这些网络中分子功能的分布。我们的研究结果表明，转录和ncRNA相互作用都表现出偏离随机预期的网络和功能之间的特征耦合，支持越来越多的证据表明ncRNA调节能力。

We construct the ncRNA-protein interaction network and analyze its large-scale organization as well as the local interaction structure. In addition, an evolutionary model for bipartite graphs that includes several biological mechanisms is presented. We also investigate the distribution of molecular functionalities in these networks by using optimization algorithms. Our findings show that both transcriptional and ncRNA-interactions exhibit characteristic couplings between network and functionality that deviate from random expectations, supporting growing evidences for a ncRNA regulatory capability.