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National Institute of Environmental Health Sciences

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Publication Detail

Title: Metrics for regulated biochemical pathway systems.

Authors: Davis, Jacob D; Voit, Eberhard O

Published In Bioinformatics, (2019 06 01)

Abstract: The assessment of graphs through crisp numerical metrics has long been a hallmark of biological network analysis. However, typical graph metrics ignore regulatory signals that are crucially important for optimal pathway operation, for instance, in biochemical or metabolic studies. Here we introduce adjusted metrics that are applicable to both static networks and dynamic systems.The metrics permit quantitative characterizations of the importance of regulation in biochemical pathway systems, including systems designed for applications in synthetic biology or metabolic engineering. They may also become criteria for effective model reduction.The source code is available at https://gitlab.com/tienbien44/metrics-bsa.

PubMed ID: 30428007 Exiting the NIEHS site

MeSH Terms: Benchmarking*; Software*

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