community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

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...

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Published in:BMC systems biology Vol. 5; no. 8; p. 8
Main Authors: Thiele, Ines, Hyduke, Daniel R, Steeb, Benjamin, Fankam, Guy, Allen, Douglas K, Bazzani, Susanna, Charusanti, Pep, Chen, Feng-Chi, Fleming, Ronan M.T, Hsiung, Chao A, Keersmaecker, Sigrid C.J. de, Liao, Yu-Chieh, Marchal, Kathleen, Mo, Monica L, Özdemir, Emre, Raghunathan, Anu
Format: Journal Article
Language:English
Published: England BioMed Central Ltd 18-01-2011
BioMed Central
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Summary: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.
Bibliography:http://dx.doi.org/10.1186/1752-0509-5-8
http://hdl.handle.net/10113/48641
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USDOE
AC05-76RL01830
PNNL-SA-77733
ISSN:1752-0509
1752-0509
DOI:10.1186/1752-0509-5-8