This research includes the use of an artificial intelligence algorithm, which is one of the algorithms of biological systems which is the algorithm of genetic regulatory networks (GRNs), which is a dynamic system for a group of variables representing space within time. To construct this biological system, we use (ODEs) and to analyze the stationarity of the model we use Euler's method. And through the factors that affect the process of gene expression in terms of inhibition and activation of the transcription process on DNA, we will use TF transcription factors. The current research aims to use the latest methods of the artificial intelligence algorithm. To apply Gene Regulation Networks (GRNs), we used a program (MATLAB2020), which provides facilitation to the most important biological concepts for building this biological interaction
This case control study aimed to determine single nucleotide polymorphisms (SNPs) in the Kisspeptin (KISS1) gene in males with idiopathic infertility and their association with sex hormones and semen quality. The study included a total of 60 infertile and 30 healthy fertile males. Our results show that the level of the measured hormones (LH, FSH, Testosterone, Prolactin and Kisspeptin-54) were higher in the control group than in the male infertile group at p<0.05. We used polymerase chain reaction restriction fragment length polymorphism (PCR-RELP) for the genotyping of KISS1 position rs35431622 (Q36R) KISS1, which showed three different genotypes of different sizes; a wild-type homozygous AA of 233 bp and a h
... Show MoreCystic fibrosis (CF) is an autosomal recessive multisystem disease that results from mutation(s) of the cystic fibrosis transmembrane conductance regulator (
Community detection is an important and interesting topic for better understanding and analyzing complex network structures. Detecting hidden partitions in complex networks is proven to be an NP-hard problem that may not be accurately resolved using traditional methods. So it is solved using evolutionary computation methods and modeled in the literature as an optimization problem. In recent years, many researchers have directed their research efforts toward addressing the problem of community structure detection by developing different algorithms and making use of single-objective optimization methods. In this study, we have continued that research line by improving the Particle Swarm Optimization (PSO) algorithm using a local
... Show MoreOral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral mucosa. Human papillomavirus (HPV) virus cause a broad scope of diseases from benign to invasive tumors, types 16 and 18 classified as carcinogenic to humans. This study aimed to provide the first molecular characterization of HPV types in Iraq. Thirty-five unstimulated whole saliva samples were collected from histopathologically confirmed patients with oral cancer were enrolled in this study. Genomic DNA was extracted from exfoliating cells to amplify HPV-DNA using HPV-L1 gene sequence primers by polymerase chain reaction method (PCR), the viral genotyping was performed using direct sequencing method. HPV genotypes identified were deposited in Gen
... Show MoreThis paper presents a modified training method for Recurrent Neural Networks. This method depends on the Non linear Auto Regressive (NARX) model with Modified Wavelet Function as activation function (MSLOG) in the hidden layer. The modified model is known as Modified Recurrent Neural (MRN). It is used for identification Forward dynamics of four Degrees of Freedom (4-DOF) Selective Compliance Assembly Robot Arm (SCARA) manipulator robot. This model is also used in the design of Direct Inverse Control (DIC). This method is compared with Recurrent Neural Networks that used Sigmoid activation function (RS) in the hidden layer and Recurrent Neural Networks with Wavelet activation function (RW). Simulation results shows that the MRN model is bett
... Show MoreBackground: Modern methods of biofilm prevention depended on the utilize of normal foodstuffs can solve antibacterial and antibiofilm problems.
Objective: To purify donkey lactoferrin, and evaluate antibiotic resisted Serratia liquefaciens which producing Intl gene and investigate the inhibitory action of lactoferrin on biofilm and stimulate immune response.
Methods: lactoferrin extracted from donkey milk, and purified by ammonium sulfate and Sephadex chromatography. Antibacterial and antibiofilm activities of lactoferrin on Serratia liquefaciens were assayed, and effect of lactoferrin on the innate immune response of mice was determined.
Results: Lactoferrin contains 9.88% carbohydrates, 128 ppm iron, and molecular weight was 8
One of the most causative agents for many opportunistic diseases is the Pseudomonas aeruginosa which has a high percentage of multidrug resistance disease through construction of biofilm. The current study aimed for evaluating the correlation between quorum sensing genes (which is lasI gene) and biofilm formation. The biofilm construction and antibiotics susceptibility test were achieved for all the isolates under the study. The PCR and sequencing techniques were also carried out to detect the type of variation in lasI gene for each scheme of biofilm formation (weak, strong, and moderate). High antibiotic resistance was recorded among biofilm producing isolates. The genic pattern for the weak biof
... Show MoreOne of the most interested problems that recently attracts many research investigations in Protein-protein interactions (PPI) networks is complex detection problem. Detecting natural divisions in such complex networks is proved to be extremely NP-hard problem wherein, recently, the field of Evolutionary Algorithms (EAs) reveals positive results. The contribution of this work is to introduce a heuristic operator, called protein-complex attraction and repulsion, which is especially tailored for the complex detection problem and to enable the EA to improve its detection ability. The proposed heuristic operator is designed to fine-grain the structure of a complex by dividing it into two more complexes, each being distinguished with a core pr
... Show MoreThe study was aimed to investigate the association between IL-10 (-592A/C) gene polymorphism with the progression of type 2 diabeteis mellitus in Basrah Province. This study included (100) subjects (30) person as a control group and (70) patients with T2DM. The patients were distributed as two groups according to Their gender and duration of the disease: group for short duration (≤ 5 years) and group for long duration( >5 years). Lipid profile and glucose concentrations were measured by COBAS analyzer while IL-10 (-592A/C) gene polymorphism was genotyped by using (RFLP-PCR) technique. CC genotype frequency showed a significant decrease while CA genotype revealed significant increase ( p≤0.05) in T2DM c
... Show MoreFlexible pavements are subjected to three main distress types: fatigue crack, thermal crack, and permanent deformation. Under severe climate conditions, thermal cracking particularly contributes largely to a considerable scale of premature deterioration of pavement infrastructure worldwide. This challenge is especially relevant for Europe, as weather conditions vary significantly throughout the year. Hydrated lime (HL) has been recognized as an effective additive to improve the mechanical properties of asphalt concrete for pavement applications. Previous research has found that a replacement of conventional limestone dust filler using hydrated lime at 2.5% of the total weight of aggregates generated an optimum improvement in the mec
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