Features
- An integrated network resource containing regulatory, metabolic and protein-protein interactions
- For 20 Salmonella strains classified as gastro-intestinal or extra-intestinal pathogens
- An interaction resource with manually curated, high-throughput and predicted interactions
- Provides a strain specific and consensus networks
- Can be downloaded in a user-specified content and format
Statistics
Components
- Strains
- 20
- Orthologous Genes
- 3 016
- Orthologous Transcription factors
- 231
- Orthologous Metabolic enzymes
- 2 148
Interactions
- Total interactions
- 190 443
- Protein-protein interactions
- 62 833
- Regulatory interactions
- 65 448
- Metabolic interactions
- 62 162
Strains
- Salmonella agona (strain SL483)
- Salmonella arizonae (strain ATCC BAA-731 / CDC346-86 / RSK2980)
- Salmonella bongori (strain ATCC 43975 / DSM 13772 / NCTC 12419)
- Salmonella choleraesuis (strain SC-B67)
- Salmonella dublin (strain CT_02021853)
- Salmonella enteritidis PT4 (strain P125109)
- Salmonella gallinarum (strain 287/91 / NCTC 13346)
- Salmonella heidelberg (strain SL476)
- Salmonella newport (strain SL254)
- Salmonella paratyphi A (strain AKU_12601)
- Salmonella paratyphi A (strain ATCC 9150 / SARB42)
- Salmonella paratyphi B (strain ATCC BAA-1250 / SPB7)
- Salmonella paratyphi C (strain RKS4594)
- Salmonella schwarzengrund (strain CVM19633)
- Salmonella typhi
- Salmonella typhimurium (strain 14028s / SGSC 2262)
- Salmonella typhimurium (strain 4/74)
- Salmonella typhimurium (strain D23580)
- Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720)
- Salmonella typhimurium (strain SL1344)
Cite
Multilayered Networks of SalmoNet2 Enable Strain Comparisons of the Salmonella Genus on a Molecular Level. Olbei M., Bohar B., Fazekas D., Madgwick M., Sudhakar P., Hautefort I., Métris A., Baranyi J., Kingsley R.A., Korcsmáros T.
mSystems e01493-21 (2022) doi:10.1128/msystems.01493-21
SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation. Métris A., Sudhakar P., Fazekas D., Demeter A., Ari E., Branchu P, Kingsley R.A., Baranyi J., Korcsmáros T.
npj Systems Biology and Applications 3, Article number: 31 (2017) doi:10.1038/s41540-017-0034-z
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