Online ISSN: 2515-8260

Current Issue
Volume 7, Issue 10

Volume 7, Issue 10, Autumn 2020


Estimate Viral RNA Of Hepatitis C Of Β-Thalassemia Patients In Nineveh Province

Ali Adel Dawood; Asmaa Mohammed Khaleel; Ahmed Mohammed Hayawi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1-8

Hepatitis C infection is the main occasional agent of chronic liver disease and might lead to cirrhosis and hepatocellular carcinoma. β-thalassemia and hemodialysis patients are most susceptible to HCV as a result of the continuous blood transfusion. Aim of the study: This study aimed to estimate the quantitative of HCV-RNA in the serum of β- thalassemia patients in Nineveh province using RT-PCR in the GeneXpert system. Methods: We detected anti-HCV using ELISA. Determine the viral RNA using Xpert® HCV viral load technique. Result: The positive detection result of anti-HCV is 48 out of a total of 752 thalassemia patients. Only 12 out of 48 enrolled HCV Ct value with a rate of 1.59% of the total β- thalassemia patients. Conclusions: The prevalence of HCV in thalassemic patients in Nineveh province is less than those found in the other Iraqi provinces or adjacent countries. The routine using of immunobiological and biochemical tests for hepatic enzymes should be the routine pursuit in thalassemia and dialysis clinical centers.

INDIA‘s Warfare with COVID - The Invisible Enemy

Nerella Sameera; V.S.R.Pavan Kumar. Neeli

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 9-16

Approximately one year back (December, 2019) CORONA virus born and vibrates the world rigorously, affects many people lives, taught many lessons, habitats new manners, new lifestyles, etc. The whole world suddenly turns into the dark side. This research paper discusses the scenario of covid outbreak in the world specifically in India with emphasis on the measures taken by the Indian government in fighting with the covid, the economic impact of covid in India, the helping hands during covid crisis, and the positive side of the covid.

Hybrid of PSO-GSA based Clustering Approach for Predicting Structural Class Prediction using Random Forest Method

Sarneet Kaur; Ashok Sharma; Parveen Singh

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 17-32

Protein can be classified in different classes. A lot of research is being performed for analyzing the structure and classes of protein. There are many problems associated with protein structure. Some of them are folding problem and protein structure prediction (PSP) etc. PSP is the most considerable open problem in field of biology. In the present work different algorithms like particle swarm optimization (PSO), gravitational search algorithm (GSA) and K-Mean clustering algorithms are used to classify different structures of protein. A random forest (RF) classifier is proposed for analyzing and comparing different protein classes in terms of other conventionally available algorithms in terms of various performance parameters like accuracy, recall, precision and specificity. The proposed classifier proved better than other classifiers in terms of accuracy and can be helpful in predicting the protein structures. A hybrid PSO-GSA algorithm is also proposed which provided improved performance as compared to single algorithms and can be utilized for analysis of protein structure.

Codon Based Compression Algorithm for DNA Sequences with Two Bit Encoding

Murugesan G

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 33-41

Deoxyribonucleic acid called DNA is the littlest essential unit that bears the hereditary directions of a living being. Due to increase in genomic data, increases the storage capacity of that data being stored. In order to process the massive amount of genomic data, there is a need of an effectual depository for quick transposal and achieve preferable performance while processing that data. In this paper, introduced a novel compression algorithm without using much complicated computation for compression of DNA sequences.The result in terms of compression magnitude relation in bits/base and also the compression/decompression time has been compared with the present approaches conferred within the literatures. Our algorithmic rule produces higher compression quantitative relation and utilizes terribly less time to compress and decompress the genomic sequences and additionally there's no further storage needed for compression and decompression.

Study Of Genetic Polymorphism In Oxidative Stress Related Genes And Their Association With Gastrointestinal Cancer: A Case Control Study From Rural Population Of South Western Maharashtra

Madhavi N. Patil; Anand Gudur; Rashmi Gudur; Satish Kakade; Sandeep Kadam; Suraj Pawar; Kailas D. Datkhile

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 42-52

Oxidative stress is known to be one of the major factors involved in the development and progression of cancer. Superoxide dismutase and Catalase plays an important role in the primary defence against oxidative stress. The present study was therefore undertaken to investigate the association between polymorphism of superoxide dismutase (SOD1, SOD2, SOD3) and Catalase (CAT1 & CAT2) and the gastro intestinal cancer risk in the rural population of the south western Maharashtra. The present case-control study included 200 confirmed gastrointestinal (GI) cancer patients and 400 age and gender matched healthy controls. The polymorphism in the Superoxide Dismutase and Catalase genes was studied out by PCR-RFLP method. When we studied the genotypic frequency of SOD1, SOD2, & SOD3, SOD2 (rs1141718) showed the negative association with the GI cancer risk [OR: 0.3097, CI: 0.1727-0.5553, p <0.0001]. There was no significant association found between SOD1 & SOD3 of superoxide dismutase and CAT1 & CAT2 of Catalase gene polymorphism and susceptibility of GI cancer. The present study shows no significant association of SOD1 (G allele of rs 2070424), SOD3 (A allele of rs2536512), CAT1 (T allele of rs7943316) and CAT2 (rs1001179) with the development of gastrointestinal cancer in the rural population of south western Maharashtra from India. However, SOD2 (rs1141718) shows the negative association with the development of GI cancer.

Degree-Based Topological Indices on Asthma Drugs with QSPR Analysis during Covid-19

Anil Kumar K N; Basavarajappa N S; Shanmukha M C; Shilpa K C

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 53-66

Asthma is a condition where a person’s airways became inflamed, narrow and swell and produce extra mucus which makes the person difficult to breath. There are some drugs used as a controller medicine for asthma. In this work, topological indices are used to determine the physical and chemical characteristics of asthma drugs. In the pandemic situation most of the people are dying from Covid-19 who were suffering from BP, Diabetes and Respiratory related (asthma) problems. This may help the chemists to understand the characteristics of drugs used in the treatment of asthma along with Covid-19.

Optimization Of Molecular- Genetic Methods For The Determination Of Resistance Markers Using Genotyping Of Actn3 And Ace Genes

Berdieva Dilnavoz Toshkan kizi; Bakieva Gulnoza Habibullayevna; Abdusattarova Sagdiana Sobitjanovna; professor Abdullaeva Muborak Makhmusovna; professor assistent Gazieva Zebunniso Yusubjanovna

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 67-74

Recently parents want their children to be busy with a particular kind of sport. Adults often decide on this issue, based on their own desires. But still, we must remember that, first of all, it is necessary to focus on the child's abilities and capabilities. Physical culture and sports are different things, and they pursue different goals: they are engaged in physical culture in order to strengthen their physical condition and be healthy, and sports are also for the sake of victories, achievements, and results. In humans, more than two hundred genes are known that are associated with endurance, speed and strength. Usually, the reason for differences (polymorphism) of genes is the replacement of individual nucleotides in the DNA molecule, leading to a change in the properties of the gene.
The main advantage of molecular genetic methods is that a person’s behavioral activity is shown to be hereditary, and early diagnosis reveals a highly informative assessment of the possibility of physical development. A distinctive feature of this diagnosis is the ability to identify hereditary trends, the development of factors of occupational diseases, determining the physical performance of a person and reducing the quality of his life.

Analysis of Tensile and Compression Strength on Magnesium Hydroxyapatite Composite for Biomedical Implants

Rejikumar Rajamoni; Sivapragash M; Sivakumar G; Sivaraj M; S Rajkumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 75-83

This paper focuses on the biomedical implants of bone plates with biodegradable Magnesium composites. ZK30 Mgalloy metal matrix reinforced with five weight fractions ofHydroxyapatite (HAP), have been fabricated using powder metallurgy manufacturing process followed by hot extrusion process. Properties such as Tensile and compression tests were investigated. Scanning Electron Microscopy (SEM) techniques were used for surface fracture analysis. The results obtained shows that the maximum ultimate tensile strength was attained at ZK30 Mg alloy while the least was noted for ZK30/10wt%HAP. In addition, ZK30/2wt%HAP shows a higher ultimate compressive strength. The SEM images of tensile specimen displays ductile fracture for ZK30 Mg alloy and quasi cleavage fracture for Mg composite whereas the compressive specimen indicates ductile fracture for ZK30 Mg alloy and Mg composites. The composite exhibited excellent mechanical properties thereby it can be used for biomedical implants of Bone plates.

Covid-19 Infected Case Estimation In India Using 5-Pl Model

Parag Nijhawan; Parminder Singh; Vishika Goyal; Manish Kumar Singla

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 84-90

On 11th February 2020, Corona-virus was declared as a disease, COVID-19, by the World Health Organization (WHO). In December 2019, China became the first country to report its first case of COVID-19. The novel Corona-virus started spreading at an uncontrollable pace across the world and was therefore declared as a Pandemic disease in March 2020 by the WHO. In this manuscript, the India’s epidemic situation with total no. of days as 242, starting from 13th January till 10th of September 2020 is being predicted. The 5-PL model is used to predict the reported data. Nonlinear regression techniques in MATLAB to predict the parameters. In an attempt to do so, it has been observed that the prediction seems to be quite close to the actual on ground situation. This will certainly help the decision makers in implementing improved strategic decision making to counteract, and restrict the spread of the COVID -19.

Neurolaw: A New Horizone Of Neuroscience And Law

Sidhartha Sekhar Dash; Prof Dr. Harish Ch. Padhi; Dr. Biswadeep Das

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 91-98

Neurolaw, the inter-disciplinary study of neuroscience and law, establishes a relationship of Brain with Law. The achievements of neuroscience shall co-operate better formulation of law and judicial decisions for a fairer judicial system. Emerging from the study of the human nervous system as a new legal phenomenon in the 1990s, Neurlaw promises to address various age-old legal questions and is fast expanding its frontier in diversified areas of law.

Augmented Reality Audit as Experience Solution for Internship during Covid 19

Bambang Leo Handoko; Holly Deviarti; Erna Bernadetta Sitanggang

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 99-108

Internships or practical work for students currently in higher education or university has become a necessity. Internships are important because they introduce students to the world of work, so that students not only learn theory, but also practice. The current condition where the world is hit by the Covid 19 pandemic makes many students unable to physically intern. Students cannot come to work and to clients due to social distancing. Augmented reality is one of the solution so that students can get a augmented internship experience. This research is a descriptive qualitative research. In this study, we present data in the form of literature reviews and observations regarding the use of augmented reality in providing internship experiences to students who specialize in the field of auditing science. The results of our research state that augmented reality is more widely used in providing augmented experiences, students can gain work experience without having to meet people physically, however, some challenges must also be considered in augmented development and augmented reality in audit learning, including: content problems, content development costs are still expensive, and also the issue of health problems after usage.