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Issue 10, 2011
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Guidelines for visualizing and annotating rule-based models

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Abstract

Rule-based modeling provides a means to represent cell signaling systems in a way that captures site-specific details of molecular interactions. For rule-based models to be more widely understood and (re)used, conventions for model visualization and annotation are needed. We have developed the concepts of an extended contact map and a model guide for illustrating and annotating rule-based models. An extended contact map represents the scope of a model by providing an illustration of each molecule, molecular component, direct physical interaction, post-translational modification, and enzyme–substrate relationship considered in a model. A map can also illustrate allosteric effects, structural relationships among molecular components, and compartmental locations of molecules. A model guide associates elements of a contact map with annotation and elements of an underlying model, which may be fully or partially specified. A guide can also serve to document the biological knowledge upon which a model is based. We provide examples of a map and guide for a published rule-based model that characterizes early events in IgE receptor (FcεRI) signaling. We also provide examples of how to visualize a variety of processes that are common in cell signaling systems but not considered in the example model, such as ubiquitination. An extended contact map and an associated guide can document knowledge of a cell signaling system in a form that is visual as well as executable. As a tool for model annotation, a map and guide can communicate the content of a model clearly and with precision, even for large models.

Graphical abstract: Guidelines for visualizing and annotating rule-based models

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Publication details

The article was received on 25 Feb 2011, accepted on 18 May 2011 and first published on 07 Jun 2011


Article type: Paper
DOI: 10.1039/C1MB05077J
Citation: Mol. BioSyst., 2011,7, 2779-2795
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    Guidelines for visualizing and annotating rule-based models

    L. A. Chylek, B. Hu, M. L. Blinov, T. Emonet, J. R. Faeder, B. Goldstein, R. N. Gutenkunst, J. M. Haugh, T. Lipniacki, R. G. Posner, J. Yang and W. S. Hlavacek, Mol. BioSyst., 2011, 7, 2779
    DOI: 10.1039/C1MB05077J

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