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Cofactor availability is often a rate-limiting factor in the bioconversion of xylose to xylitol. The overexpression of pentose phosphate pathway genes and the deletion of Embden-Meyerhof-Parnas pathway genes can modulate the glucose metabolic flux and increase the intracellular NADPH supply, enabling Escherichia coli cells to produce xylitol from corncob hydrolysates. The effects of zwf and/or gnd overexpression and pfkA, pfkB, and/or pgi deletion on the intracellular redox environment and xylitol production were examined. The NADPH-enhanced strain 2bpgi produced 162 g/L xylitol from corncob hydrolysates after a 76 h fed-batch fermentation in a 15 L bioreactor, which was 13.3% greater than the 143 g/L xylitol produced by the IS5-d control strain. Additionally, the xylitol productivity and xylitol yield per glucose for 2bpgi were 2.13 g/L/h and 2.50 g/g, respectively. Thus, the genetic modifications in 2bpgi significantly enhanced NADPH regeneration, making 2bpgi a potentially useful strain for the industrial-scale production of xylitol from detoxified corncob hydrolysates.

Cofactor supply is a rate-limiting step in the bioconversion of xylose to xylitol. Strain WZ04 was first constructed by a novel simultaneous deletion–insertion strategy, replacing ptsG, xylAB and ptsF in wild-type Escherichia coli W3110 with three mutated xylose reductase genes (xr) from Neurospora crassa. Then, the pfkA, pfkB, pgi and/or sthA genes were deleted and replaced by xr to investigate the influence of carbon flux toward the pentose phosphate pathway and/or transhydrogenase activity on NADPH generation. The deletion of pfkA/pfkB significantly improved NADPH supply, but minimally influenced cell growth. The effects of insertion position and copy number of xr were examined by a quantitative real-time PCR and a shake-flask fermentation experiment. In a fed-batch fermentation experiment with a 15-L bioreactor, strain WZ51 produced 131.6 g L−1 xylitol from hemicellulosic hydrolysate (xylitol productivity: 2.09 g L−1 h−1). This study provided a potential approach for industrial-scale production of xylitol from hemicellulosic hydrolysate.

The Multidimensional quantitative structure-activity relationship (multidimensional-QSAR) method is one of the most popular computational methods employed to predict interesting biochemical properties of existing or hypothetical molecules. With continuous progress, the QSAR method has made remarkable success in various fields, such as medicinal chemistry, material science and predictive toxicology. Areas covered: In this review, the authors cover the basic elements of multidimensional -QSAR including model construction, validation and application. It includes and emphasizes the very recent developments of multidimensional -QSAR such as: HQSAR, G-QSAR, MIA-QSAR, multi-target QSAR. The advantages and disadvantages of each method are also discussed and typical examples of their application are detailed. Expert opinion: Although there are defects in multidimensional-QSAR modeling, it is still of enormous help to chemists, biologists and other researchers in various fields. In the authors' opinion, the latest more precise and feasible QSAR models should be further developed by integrating new descriptors, algorithms and other relevant computational techniques. Apart from being applied in traditional fields (e.g. lead optimization and predictive risk assessment), QSAR should be used more widely as a routine method in other emerging research fields including the modeling of nanoparticles(NPs), mixture toxicity and peptides.