Metabolic network modeling of microbial communities.
Metabolic network modeling of microbial communities.
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DOI：
10.1002/wsbm.1308
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发表时间：
2015-09
期刊：
影响因子：
--
通讯作者：
Papin JA
中科院分区：
文献类型：
--
作者：
Biggs MB;Medlock GL;Kolling GL;Papin JA
Genome-scale metabolic network reconstructions and constraint-based analysis are powerful methods that have the potential to make functional predictions about microbial communities. Current use of genome-scale metabolic networks to characterize the metabolic functions of microbial communities includes species compartmentalization, separating species-level and community-level objectives, dynamic analysis, the “enzyme-soup” approach, multi-scale modeling, and others. There are many challenges inherent to the field, including a need for tools that accurately assign high-level omics signals to individual community members, new automated reconstruction methods that rival manual curation, and novel algorithms for integrating omics data and engineering communities. As technologies and modeling frameworks improve, we expect that there will be proportional advances in the fields of ecology, health science, and microbial community engineering.
