This is the exchange platform of the COMBINE network.
COMBINE is an initiative to coordinate the development of various community standards and formats for computational models: BioPax, CellML, NeuroML, Synthetic Biology Open Language (SBOL), Systems Biology Graphical Notation (SBGN), Systems Biology Markup Language (SBML), Simulation Experiment Description Markup Language (SED-ML).
Consortium of European research groups that aim to develop - in the forthcoming 10 years - a cluster of interlinked models that describe the whole-body human energy metabolism and its multi-dimensional regulation. Regulation includes interations with the brain, the immune system and the gut.
Mycoplasma pneumoniae, a threatening pathogen with a minimal genome, is a model organism for bacterial systems biology for which substantial experimental information is available. With the goal of … understanding the complex interactions underlying its metabolism, we analyzed and characterized the metabolic network of M. pneumoniae in great detail, integrating data from different omics analyses under a range of conditions into a constraint-based model backbone. Iterating model predictions, hypothesis generation, experimental testing, and model refinement, we accurately curated the network and quantitatively explored the energy metabolism. In contrast to other bacteria, M. pneumoniae uses most of its energy for maintenance tasks instead of growth. We show that in highly linear networks the prediction of flux distributions for different growth times allows analysis of time-dependent changes, albeit using a static model. By performing an in silico knock-out study as well as analyzing flux distributions in single and double mutant phenotypes, we demonstrated that the model accurately represents the metabolism of M. pneumoniae. The experimentally validated model provides a solid basis for understanding its metabolic regulatory mechanisms.