The Enzymes that beyond Non-Oxidative Glycolysis
Xu, Z.; Wu, Q.; Zhu, D.
Show abstract
High yield is an important objective of cell factory. One or several genes cloned into the bacterial may make the synthetic pathway much more optimal, so can increase the yield. But the global benefit enzymes are rare, which can increase the yields of many chemical products for a cell factory such as E.coli. Two of these kinds of global benefit enzymes are the famous enzymes, D-fructose-6-phosphate D-erythrose-4-phosphate-lyase and D-Xylulose 5-phosphate D-glyceraldehyde-3-phosphate-lyase, of non-oxidative glycolysis (NOG) published in Nature, which can improve the utilization ratio of carbon. We expect to find other global benefit enzymes. We use an integrated model, which integrated in silico model of E.coli and KEGG. By computation, we analyze the effect of adding each reaction from KEGG on the theoretical yields of several products with E.coli and find 83 enzymes that may be potentially global benefit enzymes. By comparison, we find about 30 of the 83 enzymes are better in improving the theoretical yields than the two enzymes of NOG.\n\nIn order to compare the global benefit enzymes with NOG, as an example, we select \"Glycerol:NADP+ oxidoreductase\" (GNO) which can increase the supply of NADPH in E.coli. But To increase the supply of reducing power, such as NADPH will probably increase the yield of chemicals in a cell factory. We use flux balance analysis method to testify our assumption. By comparing the maximum yields of 80 products produced by E.coli with respectively using GNO and NOG, we find GNO has better performance in the product production of E.coli. So GNO is a global benefit enzyme which can increase the yields of many chemical products in E.coli.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Maximization of non-nitrogenous metabolite production in E. coli using population systems biology 94%
- OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production 92%
- Harnessing natural modularity of cellular metabolism to design a modular chassis cell for a diverse class of products by using goal attainment optimization 91%
Similar papers in this journal
Similar papers in this journal
- scPADGRN: A preconditioned ADMM approach for reconstructing dynamic gene regulatory network using single-cell RNA sequencing data 94%
- DNFE: Directed-network flow entropy for detecting the tipping points during biological processes 94%
- Deep6mA: a deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species 94%
Similar papers in this journal
- Converting Escherichia coli MG1655 into a chemical overproducer through inactivating defense system against exogenous DNA 94%
- Highly efficient genome editing in Bacillus subtilis via miniature DNA nucleases IscB. 91%
- Decoding yeast transcriptional regulation via a data- and mechanism-driven distributed large-scale network model 90%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.