INRIA, Université de Lyon, F-69000, Lyon, France.
Brief Funct Genomics. 2012 Nov;11(6):420-33. doi: 10.1093/bfgp/els030. Epub 2012 Aug 20.
Biological networks are currently being studied with approaches derived from the mathematical and physical sciences. Their structural analysis enables to highlight nodes with special properties that have sometimes been correlated with the biological importance of a gene or a protein. However, biological networks are dynamic both on the evolutionary time-scale, and on the much shorter time-scale of physiological processes. There is therefore no unique network for a given cellular process, but potentially many realizations, each with different properties as a consequence of regulatory mechanisms. Such realizations provide snapshots of a same network in different conditions, enabling the study of condition-dependent structural properties. True dynamical analysis can be obtained through detailed mathematical modeling techniques that are not easily scalable to full network models.
目前,人们正在从数学和物理科学中汲取方法来研究生物网络。通过对其结构进行分析,可以突出具有特殊属性的节点,这些节点的属性有时与基因或蛋白质的生物学重要性相关。然而,生物网络在进化时间尺度和生理过程的更短时间尺度上都是动态的。因此,对于给定的细胞过程,没有唯一的网络,而是可能有许多实现方式,每个实现方式都由于调节机制而具有不同的特性。这些实现方式提供了同一网络在不同条件下的快照,从而能够研究条件相关的结构特性。通过详细的数学建模技术可以获得真正的动态分析,但这些技术不容易扩展到完整的网络模型。