Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic.
Brief Bioinform. 2010 May;11(3):301-12. doi: 10.1093/bib/bbp074. Epub 2010 Apr 28.
The current interest in systems biology is to gain a better understanding of how the complex dynamic behaviour of the cell emerges from mutual interactions of molecular species. When solving such a nontrivial goal, biological data have to be necessarily integrated with mathematical modelling and computer analysis. Since the key aspect of biological modelling is based on unifying several kinds of data captured in terms of large-scale biological networks, scalable and automatized methods are necessary to obtain novel predictions and understanding. In this review, we provide a brief description of the tool DiVinE adapted for automatized analysis of biological systems dynamics. The tool employs high-performance computing techniques to enable analysis of large models.
目前,系统生物学的研究兴趣在于更好地理解细胞的复杂动态行为是如何从分子物种的相互作用中产生的。在解决这样一个非平凡的目标时,生物数据必须与数学建模和计算机分析相结合。由于生物建模的关键方面是基于统一几种以大规模生物网络为形式的捕获数据,因此需要可扩展和自动化的方法来获得新的预测和理解。在这篇综述中,我们简要描述了 DiVinE 工具,该工具适用于生物系统动力学的自动化分析。该工具采用高性能计算技术来支持大型模型的分析。