One of the primary goals of microbial metabolic engineering is to achieve high titer, yield and productivity (TYP) of engineered strains. This TYP index requires optimized carbon flux toward desired molecule with minimal by-product formation. De novo redesign of central carbon and redox metabolism holds great promise to alleviate pathway bottleneck and improve carbon and energy utilization efficiency. The engineered strain, with the overexpression or deletion of multiple genes, typically can’t meet the TYP index, due to overflow of central carbon and redox metabolism that compromise the final yield, despite a high titer or productivity might be achieved. To solve this challenge, we reprogramed the central carbon and redox metabolism of Baci...
subtilis for redistributing the carbon flux to 2,3-butanediol by manipulating NADH level
Escherichia coli remains one of the most attractive production organisms in industrial biotechnology...
Abstract Background Genome-scale metabolic models (GEMs) allow predicting metabolic phenotypes from ...
Abstract Background Glucosamine-6-phosphate N-acetyltransferase (GNA1) is the key enzyme that causes...
[[abstract]]Background Microbes have been extensively explored for production of environment-friend...
Microbial cultures usually produce a significant amount of acidic byproducts which can represses cel...
<div><p>To rationally guide the improvement of isobutanol production, metabolic network and metaboli...
The efficient use of carbon sources is a core objective in metabolic engineering and biorefinery. Mo...
Recent advances in genome engineering have further widened the gap between our ability to implement ...
To rationally guide the improvement of isobutanol production, metabolic network and metabolic profil...
Metabolic engineering is the rational alteration of the genetic structure of an organism to make thi...
Bacillus subtilis is a typical industrial microorganism and is widely used in industrial biotechnolo...
Bacillus subtilis is extensively applied as a microorganism for the high-level production of heterol...
Synthetic Biology (SB) aims at the rational design and engineering of novel biological functions and...
Abstract This paper gives an overview of the recent advances in engineering the central carbon metab...
subtilis for redistributing the carbon flux to 2,3-butanediol by manipulating NADH level
Escherichia coli remains one of the most attractive production organisms in industrial biotechnology...
Abstract Background Genome-scale metabolic models (GEMs) allow predicting metabolic phenotypes from ...
Abstract Background Glucosamine-6-phosphate N-acetyltransferase (GNA1) is the key enzyme that causes...
[[abstract]]Background Microbes have been extensively explored for production of environment-friend...
Microbial cultures usually produce a significant amount of acidic byproducts which can represses cel...
<div><p>To rationally guide the improvement of isobutanol production, metabolic network and metaboli...
The efficient use of carbon sources is a core objective in metabolic engineering and biorefinery. Mo...
Recent advances in genome engineering have further widened the gap between our ability to implement ...
To rationally guide the improvement of isobutanol production, metabolic network and metabolic profil...
Metabolic engineering is the rational alteration of the genetic structure of an organism to make thi...
Bacillus subtilis is a typical industrial microorganism and is widely used in industrial biotechnolo...
Bacillus subtilis is extensively applied as a microorganism for the high-level production of heterol...
Synthetic Biology (SB) aims at the rational design and engineering of novel biological functions and...
Abstract This paper gives an overview of the recent advances in engineering the central carbon metab...
subtilis for redistributing the carbon flux to 2,3-butanediol by manipulating NADH level
Escherichia coli remains one of the most attractive production organisms in industrial biotechnology...
Abstract Background Genome-scale metabolic models (GEMs) allow predicting metabolic phenotypes from ...