Laccase belongs to the polyphenol oxidase family and is very important in removing environmental pollutants due to its structural and functional properties. Recently, the ability of laccase to oxidize phenolic and nonphenolic substances has been considered by many researchers. This enzyme's application scope includes a broad range of chemical processes and industrial usages, such as bioremediation, nanobiotechnology, woodworking industries, bleaching of paper pulp, dyeing in the textile industry, biotechnological uses in food industries, biorefining, detoxification from wastewater, production of organic matter from phenolic and amine substrates, and biofuels. Although filamentous fungi produce large amounts of laccase, high-yield industrial-scale production of laccase is still faced with many problems. At present, researchers are trying to increase the efficiency and productivity and reduce the final price of laccase by finding suitable microorganisms and improving the process of production and purification of laccase. This article reviews the introduction of laccase, its properties, production processes, and the effect of various factors on the enzyme's stability and activity, and some of its applications in various industries.

Glucose oxidase is a subset of oxidoreductase enzymes that catalyzes the transfer of electrons from an oxidant to a reductant. Glucose oxidases use oxygen as an external electron acceptor that releases hydrogen peroxide (H 2 O 2 ). Glucose oxidase has many applications in commercial processes, including improving the color and taste, increasing the persistence of food materials, removing the glucose from the dried egg, and eliminating the oxygen from different juices and beverages. Moreover, glucose oxidase, along with catalase, is used in glucose testing kits (especially in biosensors) to detect and measure the presence of glucose in industrial and biological solutions (e.g., blood and urine specimens).Hence, glucose oxidase is a valuable enzyme in the industry and medical diagnostics. Therefore, evaluating the structure and function of glucose oxidase is crucial for modifying as well as improving its catalytic properties. Finding different sources of glucose oxidase is an effective way to find the type of enzyme with the desired catalysis. Besides, the recombinant production of glucose oxidase is the best approach to produce sufficient amounts of glucose oxidase for various uses. Accordingly, the study of various aspects of glucose oxidase in biotechnology and bioprocessing is crucial.

No abstract

Background: Granulocyte colony-stimulating factor (G-CSF) expressed in engineered Escherichia coli (E. coli) as a recombinant protein is utilized as an adjunct to chemotherapy for improving neutropenia. Recombinant proteins overexpression may lead to creation of inclusion bodies whose recovery is a tedious and costly process. To overcome the problem of inclusion bodies, secretory production might be a used. To achieve a mature secretory protein product, suitable signal peptide (SP) selection is a vital step Objective: In the present study we aimed in silico evaluation of proper SPs for secretory production of recombinant G-CSF in E. coli Methods: Signal peptide website and UniProt were used to collect the SPs and G-CSF sequences. Then, SignalP were utilized in order to predict the SPs and location of their cleavage site. Physicochemical features and solubility were investigated by ProtParam and Protein-sol tools. Fusion proteins sub-cellular localization were predicted by ProtCompB Results: LPP, ELBP, TSH, HST3, ELBH, AIDA and PET were excluded according to SignalP. The highest aliphatic index belonged to OMPC, TORT and THIB and PPA. Also, the highest GRAVY belonged to OMPC, ELAP, TORT, BLAT, THIB, and PSPE. Furthermore, G-CSF fused with all SPs were predicted as soluble fusion proteins except three SPs. Finally, we found OMPT, OMPF, PHOE, LAMB, SAT, and OMPP can translocate G-CSF into extracellular space Conclusion: Six SPs were suitable for translocating G-CSF into the extracellular media. Although growing data indicated that the bioinformatics approaches can improve the precision and accuracy of studies, further experimental investigations are required for final validation

No abstract