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 |
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Main Authors: | , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
BioMed Central Ltd
18-01-2011
BioMed Central |
Subjects: | |
Online Access: | Get full text |
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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. |
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Bibliography: | http://dx.doi.org/10.1186/1752-0509-5-8 http://hdl.handle.net/10113/48641 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 USDOE AC05-76RL01830 PNNL-SA-77733 |
ISSN: | 1752-0509 1752-0509 |
DOI: | 10.1186/1752-0509-5-8 |