MAMMOTh: a new database for curated MAthematical Models of bioMOlecular sysTems

作者: Fedor Kazantsev , Ilya Akberdin , Sergey Lashin , Natalia Ree , Vladimir Timonov

DOI: 10.1101/053652

关键词: Enzyme catalysisData miningNucleotide BiosynthesisLiving systemsMetabolic pathwayComputer scienceMathematical modelTranscription (biology)Systems biologyGene expressionDatabaseTheoretical computer scienceSBML

摘要: Living systems have a complex hierarchical organization that can be viewed as set of dynamically interacting subsystems. Thus, to simulate the internal nature and dynamics whole biological system we should use iterative way for model reconstruction, which is consistent composition combination its elementary In accordance with this bottom-up approach, developed MAMMOTh (MAthematical Models bioMOlecular sysTems) database allows integrating manually curated mathematical models biomolecular systems, are fit experimental data. The entries organized building blocks in parts used different combinations describe higher organizational level (metabolic pathways and/or transcription regulatory networks). supports export single or their SBML Mathematica standards. currently contains more than 100 Escherichia coli subsystems (enzymatic reactions gene expression processes) combined at least 5100 complex/sophisticated concerning such processes as: de novo nucleotide biosynthesis, aerobic/anaerobic respiration, nitrate/nitrite utilization E. coli. All current functionally interconnected sufficiently complement public resources.

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