FLYCOP: metabolic modeling-based analysis and engineering microbial communities
Author(s) -
Beatriz García-Jiménez,
José L. Garcı́a,
Juan Nogales
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty561
Subject(s) - workflow , biochemical engineering , computer science , metabolic engineering , pseudomonas putida , microbial consortium , synthetic biology , data science , software engineering , microbiology and biotechnology , computational biology , biology , database , engineering , microorganism , biochemistry , genetics , bacteria , enzyme
Synthetic microbial communities begin to be considered as promising multicellular biocatalysts having a large potential to replace engineered single strains in biotechnology applications, in pharmaceutical, chemical and living architecture sectors. In contrast to single strain engineering, the effective and high-throughput analysis and engineering of microbial consortia face the lack of knowledge, tools and well-defined workflows. This manuscript contributes to fill this important gap with a framework, called FLYCOP (FLexible sYnthetic Consortium OPtimization), which contributes to microbial consortia modeling and engineering, while improving the knowledge about how these communities work. FLYCOP selects the best consortium configuration to optimize a given goal, among multiple and diverse configurations, in a flexible way, taking temporal changes in metabolite concentrations into account.
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