Spatio-temporal modeling network on plant systems (STEMN)

植物系统时空建模网络（STEMN）

• 批准号: BB/F003897/1
• 负责人: JA BANGHAM
• 金额: $ 7.84万
• 依托单位: University of East Anglia
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FF003897%2F1
• 关键词: Spatio; temporal; modeling; network; plant

Whilst it is essential to understand aspects of cells that are common within organisms and across species it is the spatio-temporal differences between cells that arise during development and responses to the environment that are of particular importance to higher organisms. What distinguishes man from the ape is the integrated system, likewise it is the differences between cell types and their integration that distinguishes higher plants from algae. There is increasing research activity on the spatio-temporal determinants of gene expression patterns, regulatory control systems, mechanical properties, etc. that integrate to lead to growth and development and there is an increasing need to create mathematical, models of the observations and, more importantly, the underlying mechanisms. These can be quite complex because the relationships between the changes have to be understood in relation to each other. In other words, although components can be studied in isolation a full understanding is only obtained when they are treated as an integrated whole. This requires concise mathematical models that are usually translated into computable models. Although focussed on plants, the work will have general application. The initial goal of the network is to catalyse the rapid distribution of mathematical ideas, methods and the articulation of potential problems, a distant goal is the creation of a Virtual Plant.

虽然了解生物体和跨物种细胞的共同特征至关重要，但细胞之间在发育和对环境的反应过程中出现的时空差异对于高等生物体尤为重要。人类与猿类的区别在于整合系统，同样，高等植物与藻类的区别在于细胞类型及其整合之间的差异。关于基因表达模式、调控系统、机械特性等的时空决定因素的研究活动不断增加，这些决定因素综合起来导致生长和发育，并且越来越需要创建观察的数学模型，更重要的是，创建潜在的机制。这些可能非常复杂，因为必须相互理解变更之间的关系。换句话说，虽然组件可以被孤立地研究，但只有当它们被视为一个完整的整体时才能获得全面的理解。这需要简洁的数学模型，通常可以转化为可计算模型。尽管该工作的重点是植物，但它具有普遍的应用性。网络的最初目标是促进数学思想、方法的快速传播和潜在问题的阐明，一个遥远的目标是创建虚拟工厂。