Network Biology Approaches to Identify Molecular and Systems-Level Differences Between Salmonella Pathovars

Olbei, Marton, Kingsley, Robert A., Korcsmaros, Tamas and Sudhakar, Padhmanand (2018) Network Biology Approaches to Identify Molecular and Systems-Level Differences Between Salmonella Pathovars. In: Methods in Molecular Biology. Methods in Molecular Biology . Springer, pp. 265-273. ISBN 978-1-4939-8999-7

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Abstract

The field of systems biology endeavors to map, study, and simulate cellular systems and their underlying mechanisms. The internal mechanisms of biological systems can be represented with networks comprising nodes and edges. Nodes denote the constituents of the biological system whereas edges indicate the relationships among them. Likewise, every layer of cellular organization can be represented by networks. Multilayered networks capture interactions between various network types, such as transcriptional regulatory networks, protein–protein interaction networks, and metabolic networks from the same biological system. This property makes multilayered networks representative of the system while its internal mechanisms are investigated. However, there are not many multilayered networks containing integrated data for nonmodel organisms including the bacterial pathogens Salmonella. Here, we outline the steps to create such an integrated network database, through the example of SalmoNet, the first integrated multilayered data resource for multiple strains belonging to distinct Salmonella serovars.

Item Type: Book Section
Uncontrolled Keywords: multilayered networks,network reconstruction framework,pathogen,salmonella,systems biology
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Depositing User: LivePure Connector
Date Deposited: 31 Jan 2019 16:30
Last Modified: 22 Apr 2020 11:20
URI: https://ueaeprints.uea.ac.uk/id/eprint/69794
DOI: 10.1007/978-1-4939-9000-9_21

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