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使用 BioModelAnalyzer 构建和分析细胞信号的计算模型。

Constructing and Analyzing Computational Models of Cell Signaling with BioModelAnalyzer.

机构信息

MRC Cancer Unit, University of Cambridge, Cambridge, United Kingdom.

UCL Cancer Institute, University College London, London, United Kingdom.

出版信息

Curr Protoc Bioinformatics. 2020 Mar;69(1):e95. doi: 10.1002/cpbi.95.

Abstract

BioModelAnalyzer (BMA) is an open-source graphical tool for the development of executable models of protein and gene networks within cells. Based upon the Qualitative Networks formalism, the user can rapidly construct large networks, either manually or by connecting motifs selected from a built-in library. After the appropriate functions for each variable are defined, the user has access to three analysis engines to test the model. In addition to standard simulation tools, BMA includes an interface to the stability-testing algorithm and to a graphical Linear Temporal Logic (LTL) editor and analysis tool. Alongside this, we have developed a novel ChatBot to aid users constructing LTL queries and to explain the interface and run through tutorials. Here we present worked examples of model construction and testing via the interface. As an initial example, we discuss fate decisions in Dictyostelium discoidum and cAMP signaling. We go on to describe the workflow leading to the construction of a published model of the germline of C. elegans. Finally, we demonstrate how to construct simple models from the built-in network motif library. © 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Modeling the signaling network of Dictyostelium discoidum Basic Protocol 2: Modeling the germline progression of Caenorhabditis elegans Basic Protocol 3: Constructing a model of the cell cycle using motifs.

摘要

BioModelAnalyzer (BMA) 是一个用于在细胞内开发蛋白质和基因网络可执行模型的开源图形工具。基于定性网络形式,用户可以快速构建大型网络,无论是手动构建还是通过连接内置库中选择的模式构建。为每个变量定义适当的函数后,用户可以使用三个分析引擎来测试模型。除了标准模拟工具外,BMA 还包括与稳定性测试算法以及图形线性时序逻辑 (LTL) 编辑器和分析工具的接口。此外,我们还开发了一个新的聊天机器人,以帮助用户构建 LTL 查询并解释界面和教程。在这里,我们通过界面展示了模型构建和测试的示例。作为初始示例,我们讨论了盘基网柄菌中的命运决策和 cAMP 信号转导。我们继续描述了构建秀丽隐杆线虫生殖系已发表模型的工作流程。最后,我们展示了如何使用内置网络模式库构建简单模型。版权所有© 2020 年由 John Wiley & Sons, Inc. 基本方案 1:建模盘基网柄菌的信号网络 基本方案 2:建模秀丽隐杆线虫生殖系的进展 基本方案 3:使用模式构建细胞周期模型

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