Prediction and comparison of Salmonella-human and Salmonella-Arabidopsis interactomes

Sylvia Schleker, Javier Garcia-Garcia, Judith Klein-Seetharaman, Baldo Oliva

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Salmonellosis caused by Salmonella bacteria is a food-borne disease and a worldwide health threat causing millions of infections and thousands of deaths every year. This pathogen infects an unusually broad range of host organisms including human and plants. A better understanding of the mechanisms of communication between Salmonella and its hosts requires identifying the interactions between Salmonella and host proteins. Protein-protein interactions (PPIs) are the fundamental building blocks of communication. Here, we utilize the prediction platform BIANA to obtain the putative Salmonella-human and Salmonella-Arabidopsis interactomes based on sequence and domain similarity to known PPIs. A gold standard list of Salmonella-host PPIs served to validate the quality of the human model. 24,726 and 10,926 PPIs comprising interactions between 38 and 33 Salmonella effectors and virulence factors with 9,740 human and 4,676 Arabidopsis proteins, respectively, were predicted. Putative hub proteins could be identified, and parallels between the two interactomes were discovered. This approach can provide insight into possible biological functions of so far uncharacterized proteins. The predicted interactions are available via a web interface which allows filtering of the database according to parameters provided by the user to narrow down the list of suspected interactions. The interactions are available via a web interface at

Original languageEnglish (US)
Pages (from-to)991-1018
Number of pages28
JournalChemistry and Biodiversity
Issue number5
StatePublished - May 2012
Externally publishedYes


  • Arabidopsis proteins
  • Interactomes
  • Protein-protein interactions (PPI)
  • Salmonella proteins
  • Systems biology

ASJC Scopus subject areas

  • Bioengineering
  • Biochemistry
  • General Chemistry
  • Molecular Medicine
  • Molecular Biology


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