In silico model-guided identification of transcriptional regulator targets for efficient strain design.

ABSTRACT:

Background

Cellular metabolism is tightly regulated by hard-wired multiple layers of biological processes to achieve robust and homeostatic states given the limited resources. As a result, even the most intuitive enzyme-centric metabolic engineering endeavours through the up-/down-regulation of multiple genes in biochemical pathways often deliver insignificant improvements in the product yield. In this regard, targeted engineering of transcriptional regulators (TRs) that control several metabolic functions in modular patterns is an interesting strategy. However, only a handful of in silico model-added techniques are available for identifying the TR manipulation candidates, thus limiting its strain design application.

Results

We developed hierarchical-Beneficial Regulatory Ta

SUBMITTER: Koduru L 

PROVIDER: S-EPMC6201637 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature