Using in silico models to simulate dual perturbation experiments: procedure development and interpretation of outcomes

Background  

A growing number of realistic in silico models of metabolic functions are being formulated and can serve as 'dry lab' platforms to prototype and simulate experiments before they are performed. For example, dual perturbation experiments that vary both genetic and environmental parameters can readily be simulated in silico. Genetic and environmental perturbations were applied to a cell-scale model of the human erythrocyte and subsequently investigated.     

In-silico and in-vitro investigation on the phenylalanine metabolites’ interactions with hexokinase of Rat’s brain mitochondria

Hexokinase (HK) is the first enzyme of glycolysis pathway. In brain, most dominant form of HK, HK-I, binds reversibly to the outer mitochondria membrane. Those metabolites that affect binding or releasing of the enzyme from the mitochondria have regulatory effect on glucose consumption of the cell. In this study destructive effect of phenylalanine and its metabolites in relation to glucose metabolism in brain have been studied. The results show that phenylpyruvic acid decreases the activity of enzyme in the presence and absence of glucose-6-phosphate (G6P) and increases the release of the enzyme from mitochondria, whereas phenylalanine and phenyllactic acid have no such effects. Obtained Interactions and elicited binding energies of docking and MD simulations also showed more affinity for phenylpyruvic acid compared with the other potent inhibitors for hexokinase after the natural product of G6P. It is possible that phenylpyruvic acid is the cause of the reduction of glucose consumption by decreasing hexokinase activity and the higher inhibitory function. Therefore, production of ATP declines in brain cells.     

Optimization of protein extraction from Gelidiella acerosa by carbohydrases using response surface methodology

In this study, application of response surface methodology for enzymic pretreatment optimization of Gelidiella acerosa was investigated in order to improve the extraction of algal proteins using Viscozyme L and Celluclast 1.5L. The total protein, soluble proteins and reducing sugar recovery in the water‐soluble fraction were studied in relation to the hydrolysis time, type and concentration of the enzymes. Enzymatic digestion appeared to be an effective treatment for protein extraction. While enzyme hydrolysis by Celluclast 1.5L was able to facilitate the protein extraction, it was a relatively inefficient way to improve protein extraction yield, in comparison with Viscozyme L. The optimum conditions for protein extraction was found to be hydrolysis by 2.8 μL mL^?1 of Viscozyme L for 12 h.     

Association of T/A polymorphism in miR-1302 binding site in CGA gene with male infertility in Isfahan population

Infertility occurs in 10–15% of couples worldwide and close to half of it is caused by male factors. One of the genes that can affect male infertility is CGA. Polymorphisms in CGA gene may affect gene expression, therefore affecting male infertility by disrupting the regulation of this gene. One of the polymorphisms is the substitution of T with A in the miR-1302 binding site in the 3′ untranslated region of the CGA gene. In this study, we explored this polymorphism in Isfahan population. In this case-control study, by the use of Tetra primer-ARMS–PCR technique, rs6631 has been investigated in 224 infertile men and 196 controls. Infertile men were recruited from Isfahan Fertility and Infertility Center. Analysis of genotype and allele frequencies indicated that the differences between case and control populations were significant for rs6631 because P?=?0.00 which is above the threshold. We found a significant relationship between this polymorphism and male infertility. This study which performed for the first time in Iran suggests that polymorphism in CGA gene can affect male infertility. Also, this polymorphism has high heterozygosity, so it can be used for further studies in different populations.     

A thermal-aware energy-efficient virtual machine placement algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA)

The remarkable growth of cloud computing applications has caused many data centers to encounter unprecedented power consumption and heat generation. Cloud providers share their computational infrastructure through virtualization technology. The scheduler component decides which physical machine hosts the requested virtual machine. This process is virtual machine placement (VMP) which, affects the power distribution, and thereby the energy consumption of the data centers. Due to the heterogeneity and multidimensionality of resources, this task is not trivial, and many studies have tried to address this problem using different methods. However, the majority of such studies fail to consider the cooling energy, which accounts for almost 30% of the energy consumption in a data center. In this paper, we propose a metaheuristic approach based on the binary version of gravitational search algorithm to simultaneously minimize the computational and cooling energy in the VMP problem. In addition, we suggest a self-adaptive mechanism based on fuzzy logic to control the behavior of the algorithms in terms of exploitation and exploration. The simulation results illustrate that the proposed algorithm reduced energy consumption by 26% in the PlanetLab Dataset and 30% in the Google cluster dataset relative to the average of compared algorithms. The results also indicate that the proposed algorithm provides a much more thermally reliable operation.

     

A method for genetic modification of human embryonic stem cells using electroporation

The ability to genetically modify human embryonic stem cells (HESCs) will be critical for their widespread use as a tool for understanding fundamental aspects of human biology and pathology and for their development as a platform for pharmaceutical discovery. Here, we describe a method for the genetic modification of HESCs using electroporation, the preferred method for introduction of DNA into cells in which the desired outcome is gene targeting. This report provides methods for cell amplification, electroporation, colony selection and screening. The protocol we describe has been tested on four different HESC lines, and takes approximately 4 weeks from electroporation to PCR screening of G418-resistant clones.     

Investigating the metabolic capabilities of Mycobacterium tuberculosis H37Rv using the in silico strain iNJ661 and proposing alternative drug targets

Background:  

Mycobacterium tuberculosis continues to be a major pathogen in the third world, killing almost 2 million people a year by the most recent estimates. Even in industrialized countries, the emergence of multi-drug resistant (MDR) strains of tuberculosis hails the need to develop additional medications for treatment. Many of the drugs used for treatment of tuberculosis target metabolic enzymes. Genome-scale models can be used for analysis, discovery, and as hypothesis generating tools, which will hopefully assist the rational drug development process. These models need to be able to assimilate data from large datasets and analyze them.     

Evaluation of oil recovery by rhamnolipid produced with isolated strain from Iranian oil wells

A rhamnolipid producing bacterium,Pseudomonas aeruginosa HR was isolated from south of Iranian oil wells. In the previous study, effects of main factors of cultivation on production of biosurfactant by this strain were evaluated and their optimized values were determined. In the present paper, the ability of produced biosurfactant in oil recovery was investigated. For this purpose, its affect on enhanced oil recovery in sand pack and core holder obtained from oil wells was evaluated. It was found that the maximum oil recovery in saturated sand pack column and in saturated core holder of crude oil were 23.6 and 64%, respectively. Then, in core test mathematical model was proposed by considering interactions between given parameters. Furthermore, dependence of residual oil recovery on the process of core washing during injection of biosurfactant was investigated. Finally, capillary desaturation curve was compared with core flood data.