Application of soft computing techniques to estimate the scouring depth formed by crossing jets.

The scouring depth caused by the water jet outputs from a dam is one of the crucial parameters for design purposes. Due to the importance of the subject, several laboratory studies have been conducted to understand this subject. Nevertheless, using soft computing techniques is a new attitude for modeling and predicting the natural process parameters.

Optimization of in vitro refolding conditions of recombinant Lepidium draba peroxidase using design of experiments.

The main objective of this study was to optimize the in vitro refolding conditions of the recombinant Lepidium draba peroxidase (LDP). Initially, the effects of various factors were investigated on LDP refolding yield using one-factor-at-a-time (OFAT) method. Based on the OFAT results, optimum concentrations for LDP refolding were 2 M urea, 2 mM CaCl, 0.

Heterologous Expression, Purification and Characterization of a Peroxidase Isolated from Lepidium draba.

Peroxidase is one of the most widely used enzymes in biotechnology and medicine. In the current study, cDNA encoding peroxidase from Lepidium draba (LDP) was cloned and expressed in Escherichia coli BL21 (DE3) cells in the form of inclusion bodies (IBs). To achieve purified active enzyme, IBs were solubilized before being purified and refolded.

In silico locating the immune-reactive segments of Lepidium draba peroxidase and designing a less immune-reactive enzyme derivative.

Peroxidases have broad applications in industry, environmental as well as pharmaceutical and diagnosis. Recently applicability of peroxidases in cancer therapy was mentioned. In the present study, a horseradish peroxidase homologue from Lepidium draba was subjected to in silico analyzes aiming at identifying and locating immune-reactive regions.