van Gend Carel, Conradie Riaan, du Preez Franco B, Snoep Jacky L
Triple J Group for Molecular Cell Physiology, Department of Biochemistry, Stellenbosch University, Matieland 7602, South Africa.
In Silico Biol. 2007;7(2 Suppl):S27-35.
Systems Biology requires a tight integration of experimental data and detailed computer models to obtain a quantitative understanding of the system under study. To facilitate this integration a standardization of data and model representation and storage is important. We illustrate here such an integration using JWS Online, the modeling tool developed in our group. We follow the approach of the Silicon Cell project for the construction and validation of kinetic models and discuss some issues with respect to storage of experimental data and models. The majority of the published kinetic models for biological systems have been developed for metabolic networks and this will be our focus in this manuscript. It is not our aim to present here an all encompassing method for data and model integration, but rather to present our work on this topic to start a discussion in which the different initiatives, methods and tools can be compared.
系统生物学需要紧密整合实验数据和详细的计算机模型,以便对所研究的系统有定量的理解。为了促进这种整合,数据、模型表示和存储的标准化很重要。我们在此使用我们团队开发的建模工具JWS Online来说明这种整合。我们遵循硅细胞项目构建和验证动力学模型的方法,并讨论关于实验数据和模型存储的一些问题。大多数已发表的生物系统动力学模型是针对代谢网络开发的,这将是本手稿的重点。我们的目的不是在此介绍一种涵盖所有方面的数据和模型整合方法,而是展示我们在这个主题上的工作,以引发一场可以比较不同倡议、方法和工具的讨论。