National Center of Biotechnology Information, NLM, NIH, 8000 Rockville Pike, Bethesda MD 20814, USA.
Brief Bioinform. 2010 Jan;11(1):15-29. doi: 10.1093/bib/bbp057. Epub 2010 Jan 8.
Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference and analysis of the dynamic interactome. This burgeoning research area, which entails a shift from static to dynamic network analysis, promises to be a major step forward in our ability to model and reason about cellular function and behavior.
动态分子相互作用在调节细胞和生物体的功能方面起着核心作用。随着越来越多的大规模细胞网络实验数据以及在不同时间和条件下提供生物系统快照的其他高通量实验数据集的出现,解析相互作用动力学的能力也在不断提高。在这里,我们回顾了计算生物学中一个新的子领域的开端,该领域专注于动态相互作用组的全局推断和分析。这一新兴研究领域涉及从静态网络分析到动态网络分析的转变,有望成为我们对细胞功能和行为进行建模和推理的能力的重大进步。