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

Title A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2.
Year of Publication 2011
Authors I. Thiele; D.R. Hyduke; B. Steeb; G. Fankam; D.K. Allen; S. Bazzani; P. Charusanti; F.C. Chen; R.M.T. Fleming; C.A. Hsiung; S.C.J. De Keersmaecker; Y.C. Liao; K. Marchal; M.L. Mo; E. Özdemir; A. Raghunathan; J.L. Reed; Sil Shin; S. Sigurbjörnsdóttir; J. Steinmann; S. Sudarsan; N. Swainston; I.M. Thijs; K. Zengler; B.O. Palsson; J.N. Adkins; D. Bumann
Journal PLoS Comput Biol
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.
URL PubMed