Interactive Multiresolution Visualization of Cellular Network Processes

Visualization plays a central role in the analysis of biochemical network models to identify patterns that arise from reaction dynamics and perform model exploratory analysis. To facilitate these analyses, we developed PyViPR, a visualization tool that generates static and dynamic representations of...

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Vydáno v:iScience Ročník 23; číslo 1; s. 100748
Hlavní autoři: Ortega, Oscar O., Lopez, Carlos F.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 24.01.2020
Elsevier
Témata:
Bioinformatics
Integrative Aspects of Cell Biology
Systems Biology
Bioinformatics
Systems Biology
Integrative Aspects of Cell Biology
ISSN:2589-0042, 2589-0042
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Shrnutí:Visualization plays a central role in the analysis of biochemical network models to identify patterns that arise from reaction dynamics and perform model exploratory analysis. To facilitate these analyses, we developed PyViPR, a visualization tool that generates static and dynamic representations of biochemical network processes within a Python-based environment. PyViPR embeds network visualizations within Jupyter notebooks, thus enabling integration with modeling, simulation, and analysis workflows. To present the capabilities of PyViPR, we explore execution mechanisms of extrinsic apoptosis in HeLa cells. We show that community-detection algorithms identify groups of molecular species that capture key biological functions and ease exploration of the apoptosis network. We then show how different kinetic parameter sets that fit the experimental data equally well exhibit significantly different signal-execution dynamics as the system progresses toward mitochondrial outer-membrane permeabilization. Therefore, PyViPR aids the conceptual understanding of dynamic network processes and accelerates hypothesis generation for further testing and validation. [Display omitted] •Static and dynamic interactive visualizations of systems biology models•Community detection algorithms are used to facilitate network exploration•Visualization embedded in Jupyter Notebooks for easy model pipeline dissemination•Support for multiple graph formats including GraphML, SBGN, and SIF Integrative Aspects of Cell Biology; Bioinformatics; Systems Biology
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ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2019.100748