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{"title":"Constructing and Analyzing Computational Models of Cell Signaling with BioModelAnalyzer","authors":"Benjamin A. Hall, Jasmin Fisher","doi":"10.1002/cpbi.95","DOIUrl":null,"url":null,"abstract":"<p>BioModelAnalyzer (BMA) is an open-source graphical tool for the development of executable models of protein and gene networks within cells. Based upon the <i>Qualitative Networks</i> 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 <i>Dictyostelium discoidum</i> and cAMP signaling. We go on to describe the workflow leading to the construction of a published model of the germline of <i>C. elegans</i>. Finally, we demonstrate how to construct simple models from the built-in network motif library. © 2020 by John Wiley & Sons, Inc.</p><p><b>Basic Protocol 1</b>: Modeling the signaling network of <i>Dictyostelium discoidum</i></p><p><b>Basic Protocol 2</b>: Modeling the germline progression of <i>Caenorhabditis elegans</i></p><p><b>Basic Protocol 3</b>: Constructing a model of the cell cycle using motifs</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.95","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
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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
用BioModelAnalyzer构建和分析细胞信号传导的计算模型
BioModelAnalyzer (BMA)是一个开源的图形工具,用于开发细胞内蛋白质和基因网络的可执行模型。基于定性网络形式,用户可以快速构建大型网络,无论是手动还是通过连接从内置库中选择的主题。在为每个变量定义了适当的函数之后,用户可以访问三个分析引擎来测试模型。除了标准仿真工具外,BMA还包括稳定性测试算法和图形线性时序逻辑(LTL)编辑器和分析工具的接口。除此之外,我们还开发了一个新颖的ChatBot来帮助用户构建LTL查询,并解释界面和运行教程。在这里,我们给出了通过接口进行模型构建和测试的工作示例。作为最初的例子,我们讨论了盘齿龙的命运决定和cAMP信号。我们继续描述工作流程导致建设一个已发表的秀丽隐杆线虫种系模型。最后,我们演示了如何从内置的网络motif库中构建简单的模型。©2020 by John Wiley &基本方案1:对盘状盘基骨菌的信号网络进行建模;基本方案2:对秀丽隐杆线虫的种系进展进行建模;基本方案3:利用基序构建细胞周期模型
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