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A 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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Detalles Bibliográficos
Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032673/
https://www.ncbi.nlm.nih.gov/pubmed/21244678
http://dx.doi.org/10.1186/1752-0509-5-8
Descripción
Sumario: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.