The aim of study To purify GPCR from a local strain of S. cerevisiae using Ion exchange and gel filtration chromatography techniques , by packing materials for columns which will be chosen of low cost comparing to the already used in published researches, which depend on the costly affinity chromatography and other expensive methods of purification. Local strain of S. cerevisiae chosen for extraction and purification of G-protein coupled receptor (GPCR) .The strains were obtained from biology department in Al- Mosul University, Iraq. The isolated colony was activated on Yeast Extract Pepton Dextrose Broth (YEPDB) and incubated at 30 C˚ for 24 h .Loop fully of the yeast culture was transferred to (10ml) of yeast extract peptone glucose agar (YEPGA) slant , then incubated at 30C˚for 24h , after that it was stored at 4C˚ ,the yeast cultures were reactivated and persevered after each two weeks period. S.cerevisiae was identified by morphological, microscopic characterization and biochemical test . The GPCR that extract from whole cell of S.cerevisiae was purified by ion exchange chromatography using DEAE-Sepharose ,the bound proteins (negatively charged) were then eluted using gradient concentration of NaCl ranged between( 0.1 -0.5M). Gel filtration chromatography using Sepharose 6B was applied as a second step of purification. The optical density for each fraction was measured at 280 nm by UV-VS spectrophotometer then the GPCR concentration was determined by using ELISA Kit . The fractions which gave the highest absorbance and concentration of GPCR were collected .The molecular weight of GPCR was determined by gel filtration chromatography using blue dextrin solution. Standard curve was plotted between log of molecular weight for standard protein and the ratio of Ve/Vo of GPCR . The purity of the GPCR that extracted and purified from whole cell of S, cerevisiae were carried out by using SDS-PAGE electrophoresis . In ion exchange chromatography the fraction were collected with 5 ml tube at a flow rate 0.5 ml/ min and eluted with gradient (0.1-0.5M) of sodium chloride solution. Two proteins peaks appeared after eluted by the gradient concentration of sodium chloride, while no protein peaks appeared in the washing fractions. The GPCR concentration was measured in the fractions of these two protein peaks, data indicated that GPCR located in the first protein peak (eluted at 0.1M of NaCl) at fraction numbers between 3 and 9, the maximum concentration of GPCR was 9.281 with specific activity 71.58(ng/mg)protein , 3.125 purification folds and72.9(%) yield while the second peaks (eluted at 0.4 M of NaCl) don't give any concentration for GPCR, thus its neglected. Gel filtration chromatography was used as second step of purification which applied by using sepharose 6B. Results show single active protein peaks appeared that identical with the peak of GPCR at fractions numbers(29-35). The maximum concentration of GPCR was 9.082 (ng/ml)was observed in these fractions. The specific activity for these fractions was 151.37 (ng/mg) protein with 6.608 purification folds and 39.64 (%) yield. The present study a chive a relatively high purification of GPCR from whole cell of a local strain S. cerevisiae with fold purification 6.608 and a yield of 39.64 % and molecular weight about~33KD.
Some maps of the chaotic firefly algorithm were selected to select variables for data on blood diseases and blood vessels obtained from Nasiriyah General Hospital where the data were tested and tracking the distribution of Gamma and it was concluded that a Chebyshevmap method is more efficient than a Sinusoidal map method through mean square error criterion.
Copper with different concentrations doped with zinc oxide nanoparticles were prepared from a mixture of zinc acetate and copper acetate with sodium hydroxide in aqueous solution. The structure of the prepared samples was done by X-ray diffraction, atomic force microscopy (AFM) and UV-VIS absorption spectrophotometer. Debye-Scherer formula was used to calculate the size of the prepared samples. The band gap of the nanoparticle ZnO was determined by using UV-VIS optical spectroscopy.
(16)
(6)
(7)
(4)
Fluorescent proteins (FPs) have revolutionised the life sciences, but the chromophore maturation mechanism is still not fully understood. Here we photochemically trap maturation at a crucial stage and structurally characterise the intermediate.
(13)
(13)
This study was conducted to investigate the presence of Staphylococcus aureus in the red and white meat available in local markets. They were selected ten samples of red and white meat randomly (Iraq, Saudi Arabia, Turkey, and Brazil) from different markets in Baghdad, and the results of reading the nutrition facts of media indication card showed that all models confirm to the Iraqi standard quality in terms of scanning all data of the media indication card, except for the birds of Bayader, where the date of expire & production date of the product was not mentioned. Also, the results of the study showed that there is no Staphylococcus aureus in local red and white meat as well as imported.
ZnIn2(Se1-xTex)4 (ZIST) chalcopyrite semiconductor thin films at various contents (x = 0.0, 0.2, and 0.4) are deposited on glass and p type silicon (111) substrate to produce heterojunction solar cell by using the thermal evaporation technique at RT where the thickness of 500 nm with a vacuum of 1×10-5 mbar and a deposited rates of 5.1 nm/s. This study focuses on how differing x content effect on the factors affecting the solar cell characteristics of ZIST thin film and n-ZIST/p-Si heterojunction. X-ray diffraction XRD investigation shows that this structure of ZIST film is polycrystalline and tetragonal, with (112) preferred orientation at 2θ ≈ 27.01. Moreover, atomic force microscopy AFM is studying the external morphology of
... Show More
(15)
(9)
(2)
(2)
Genome sequencing has significantly improved the understanding of HIV and AIDS through accurate data on viral transmission, evolution and anti-therapeutic processes. Deep learning algorithms, like the Fined-Tuned Gradient Descent Fused Multi-Kernal Convolutional Neural Network (FGD-MCNN), can predict strain behaviour and evaluate complex patterns. Using genotypic-phenotypic data obtained from the Stanford University HIV Drug Resistance Database, the FGD-MCNN created three files covering various antiretroviral medications for HIV predictions and drug resistance. These files include PIs, NRTIs and NNRTIs. FGD-MCNNs classify genetic sequences as vulnerable or resistant to antiretroviral drugs by analyzing chromosomal information and id
... Show More