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A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2
- Thiele, Ines;
- Hyduke, Daniel R;
- Steeb, Benjamin;
- Fankam, Guy;
- Allen, Douglas K;
- Bazzani, Susanna;
- Charusanti, Pep;
- Chen, Feng-Chi;
- Fleming, Ronan MT;
- Hsiung, Chao A;
- De Keersmaecker, Sigrid CJ;
- Liao, Yu-Chieh;
- Marchal, Kathleen;
- Mo, Monica L;
- Özdemir, Emre;
- Raghunathan, Anu;
- Reed, Jennifer L;
- Shin, Sook-Il;
- Sigurbjörnsdóttir, Sara;
- Steinmann, Jonas;
- Sudarsan, Suresh;
- Swainston, Neil;
- Thijs, Inge M;
- Zengler, Karsten;
- Palsson, Bernhard O;
- Adkins, Joshua N;
- Bumann, Dirk
- et al.
Published Web Location
http://dx.doi.org/10.1186/1752-0509-5-8Abstract
Abstract Background Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG) knowledge-bases for target organisms by capturing currently available information in a consistent, structured manner. Salmonella enterica subspecies I serovar Typhimurium is a human pathogen, causes various diseases and its increasing antibiotic resistance poses a public health problem. Results Here, we describe a community-driven effort, in which more than 20 experts in S. Typhimurium biology and systems biology collaborated to reconcile and expand the S. Typhimurium BiGG knowledge-base. The consensus MR was obtained starting from two independently developed MRs for S. Typhimurium. Key results of this reconstruction jamboree include i) development and implementation of a community-based workflow for MR annotation and reconciliation; ii) incorporation of thermodynamic information; and iii) use of the consensus MR to identify potential multi-target drug therapy approaches. Conclusion Taken together, with the growing number of parallel MRs a structured, community-driven approach will be necessary to maximize quality while increasing adoption of MRs in experimental design and interpretation.
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