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

Marton Olbei, Robert A. Kingsley, Tamas Korcsmaros, Padhmanand Sudhakar

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
Number of pages9
ISBN (Electronic)978-1-4939-9000-9
ISBN (Print)978-1-4939-8999-7
Publication statusPublished - 23 Dec 2018
Externally publishedYes

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745


  • Multilayered networks
  • Network reconstruction framework
  • Pathogen
  • Salmonella
  • Systems biology

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