Escherichia coli Genome-Scale Metabolic Models
Could Guide Construction of Proof-of-Principle Strains by Bashir Sajo Mienda in
Open Access Biostatistics & Bioinformatic- Crimson Publishers:
Bioinformatics Open Access Journals
Escherichia coli genome-scale metabolic models
(GEMs) have been published with ability to predict metabolic engineering
capabilities that could be consistent with experimental measurements. However,
the GEMs have limited scope, and the models are of two types, metabolism models
(M-model), and metabolism and gene expression (ME-model) that could guide the
constructions of proof-of-principle strains of particularly E. coli bacterium
that may find applications in metabolic engineering strategies, synthetic biology
[1], and beyond. GEMs have been clearly established to be capable of predicting
metabolic engineering capabilities and could sometime lead to biological
discoveries for missing reactions and/or missing gene functions [2-4]. In
addition, systems metabolic engineering has proof useful with the use of GEMs
where time consuming experimental trial and error was shortened by predicting
engineering strategies using GEMs. Although sometimes prediction could fail to
agree with experimental data, but in that circumstances missing knowledge can
be uncovered and gaps in the reconstruction can therefore be bridged leading to
novel biological discoveries [3,4].
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