Provides a comprehensive flux balance analysis framework for microbial communities. OptCom relies on a multi-level and multi-objective optimization formulation to properly describe trade-offs between individual vs. community level fitness criteria. This modeling framework is general enough to capture any type of interactions (positive, negative or combination of both) for any number of species (or guilds) involved. In addition, OptCom is able to explain in vivo observations in terms of the levels of optimality of growth for each participant of the community.

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  • (Zomorrodi et al., 2014) d-OptCom: Dynamic multi-level and multi-objective metabolic modeling of microbial communities. ACS Synthetic Biology.
    PMID: 24742179
  • (Zomorrodi and Maranas, 2012) OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities. PLoS Computational Biology.
    PMID: 22319433


Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA

Funding source(s)

This work was supported by the DOE grant DE-FG02-05ER25684.

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