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大分子调控网络的模型构成。

Model composition for macromolecular regulatory networks.

机构信息

Computational Sciences Center of Emphasis, Pfizer Global Research & Development, 620 Memorial Drive, Cambridge, MA 02139, USA.

出版信息

IEEE/ACM Trans Comput Biol Bioinform. 2010 Apr-Jun;7(2):278-87. doi: 10.1109/TCBB.2008.64.

DOI:10.1109/TCBB.2008.64
PMID:20431147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3773227/
Abstract

Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, representing subsets of reactions within the larger network. To assist modelers in this composition process, we present a formal approach for model composition, a wizard-style program for implementing the approach, and suggested language extensions to the Systems Biology Markup Language to support model composition. To illustrate the features of our approach and how to use the JigCell Composition Wizard, we build up a model of the eukaryotic cell cycle "engine" from smaller pieces.

摘要

随着调控网络规模和复杂性的增加，构建和理解它们的模型变得越来越困难。大型模型通常是由较小的模型构建而成的，这些较小的模型代表了较大网络中反应的子集。为了帮助建模者完成这个组合过程，我们提出了一种用于模型组合的正式方法、一个实现该方法的向导式程序，以及用于支持模型组合的系统生物学标记语言的语言扩展建议。为了说明我们方法的特点以及如何使用 JigCell 组合向导，我们从小的部分构建了真核细胞周期“引擎”的模型。

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