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Comparative analysis of ROS-scavenging gene families in finger millet, rice, sorghum, and foxtail millet revealed potential targets for antioxidant activity and drought tolerance improvement
In this study, we compared structural and functional aspects of antioxidant genes  viz., APX, DHAR, MDHAR, GR, and SOD of two contrasting genotypes  viz. GP-1 (low Ca2+) and GP-45 (high Ca2+) of finger millet with other cereal crops such as rice, sorghum, and foxtail millet. The structural analysis shows that all genes are conserved and shares almost the same domains such as ascorbate peroxidase, glutathione dehydrogenase, glutathione reductase, Fe, and Cu –Zn superoxide dismutase domains which play a significant role in antioxidant activity and drought tolerance. These genes were mainly localized in chloroplast and c...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 13, 2020 Category: Bioinformatics Source Type: research

Effect of hospital architecture, computer games, and nurses ’ behavior on the effectiveness of the treatment process of adolescent cancer patients
AbstractCancer patients suffer from many physical, psychological, and social problems that may impede quality of life and reduce the impact of treatment. Researchers have concluded that in addition to focusing on the treatment of the disease in the form of drugs and chemotherapy, factors such as the physical environment, communication skills of physicians and nurses with patients, increased hope, quality of life, knowledge of the disease, causing the immune system of patients with cancer is be strengthened. The influential role of therapeutic places can be effective in the outcome and treatment of adolescents and children ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 5, 2020 Category: Bioinformatics Source Type: research

De novo modeling and structural characterization of IL9-IL9 receptor complex: a potential drug target for hematopoietic stem cell therapy
AbstractHematopoietic stem cell therapy can control disease-related complications in neonatal disorders of newborns. The IL9-IL9R complex is one of the most multifunctional cytokine complexes that promote proliferation and differentiation of hematopoietic progenitors. However, the structure of this complex has not been determined yet. The present work demonstrates a de novo computational method for rational protein designing to recapitulate the structural relationship among IL9: IL9R complex. We employed a strategy to design mimics of IL-9 that binds to IL-9R α by molecular modeling and protein–protein docking approach....
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 21, 2020 Category: Bioinformatics Source Type: research

In silico molecular docking analysis of cancer biomarkers with GC/MS identified compounds of Scytonema sp.
This study was aimed to perform pre-clinical evaluation of the gas chromatography –mass spectrometry (GC/MS) identified bioactive compounds of cyanobacteriumScytonema sp. MGL002 as an anticancer drug resource using in silico docking approaches. Among the twenty GC/MS identified cyanobacterial compounds, only four of them viz. tetradecanoic acid; palmitoleic acid; 9,12-octadeca dien-1-ol, (Z,Z)- and 6-octadecanoic acid (Z)- were found to be potent anticancer therapeutic agent through molecular docking study. These anticancerous compounds were also accepted as a potent drug-like compound through Lipinski drug likeliness te...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 21, 2020 Category: Bioinformatics Source Type: research

Process mining project methodology in healthcare: a case study in a tertiary hospital
AbstractProcess mapping in the healthcare environment provides several managerial benefits, which are reflected in the quality of patient care. Among the ways to map the processes, a method called"process mining" has been used in several contexts and has presented interesting results. However, there is a lack of studies focused on the standardisation of the process mining application process. To bridge this gap, the present study developed a methodology for the application of process mining in healthcare entitled Process Mining Project Methodology in Healthcare (PM2HC). This methodology was developed over a serie...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 14, 2020 Category: Bioinformatics Source Type: research

Feature selection and pattern recognition for different types of skin disease in human body using the rough set method
AbstractDisease analysis is one of the applications of data mining. The rough set is knowledge and information based method to help human decision-making, learning, and activity. Many researchers have put forward their findings in the study of skin diseases, but the feature selection and the pattern recognition of different types of skin disease by taking a standard set of the large platform (taking as parameters) have not been seen yet using the rough set method. We use histopathological skin data samples to exhibits strategy for multi-source, multi-methodology, and multi-scale data frameworks. This realistic evaluation s...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 12, 2020 Category: Bioinformatics Source Type: research

A tri-nucleotide mapping scheme based on residual volume of amino acids for short length exon prediction using sliding window DFT method
AbstractOne of the great challenges in the field of bioinformatics is how to locate the accurate protein-coding regions in a given DNA sequence. The accurate identification of the protein-coding region is useful in many applications. For instance; it helps in characterizing new proteins, drug designing, and also in revealing the evolutionary background of a particular organism. DSP based techniques are quite popular in the protein-coding region identification. The first essential step of the DSP based exon prediction technique is to convert the base sequences into the numerical sequence. The choice of the numerical mapping...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 7, 2020 Category: Bioinformatics Source Type: research

Mathematical analysis based on eigenvalue approach to study liver metastasis disease with applied drug therapy
AbstractThe basic reaction –diffusion model is extended to study liver metastasis disease with applied drug therapy by the term which describes the interaction between the tumor and normal cells. The drug therapy is taken as a function of tumor shape as well as time duration. The model is solved using an analytical eigenval ue approach. The results obtained from the model are presented graphically for different case studies to show the response of tumor decay and growth respectively in the presence and absence of the drug therapy. Finally, the model outcome and their simulations are compared with the known clinical res u...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 6, 2020 Category: Bioinformatics Source Type: research

Clinicopathological and prognostic significance of GPC3 in human breast cancer and its 3D structure prediction
AbstractGlypican-3 (GPC3) is a heparan sulfate proteoglycan that may function as a tumor suppressor in breast cancer (BC). To evaluate the prognostic value of GPC3 in BC, systematic analysis was performed in this study. To evaluate gene alteration during breast carcinogenesis, GPC3 expression was analyzed using the Oncomine, GENT, UALCAN, bcGenExMiner, and UCSC Xena databases. The prognostic role of GPC3 in BC was investigated using KM Plotter and PrognoScan databases. Promoter methylation status and heat map of GPC3 were determined using UALCAN and UCSC Xena. GPC3 expression was significantly downregulated in BC compared ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 4, 2020 Category: Bioinformatics Source Type: research

A comparison and analysis of the Twitter discourse related to weight loss and fitness
This study aims at understanding tweets stated on the amount of reception shown by people in the course of weight loss in a period of 1  month. This study uses cross-sectional and descriptive method to analyze over 2,684,858 of tweets quantitatively. It also compares the emotional aspects present in the tweets. Users, who are active in this domain, are classified into six classes. An investigation and comparison of the number of ac tivities with relation to weight loss has been carried out by searching users’ geographical information of social networks in different continents. English tweets have been chosen because of ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 31, 2020 Category: Bioinformatics Source Type: research

Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums
AbstractDepression is the most common mental illness in the US, with 6.7% of all adults experiencing a major depressive episode. Unfortunately, depression extends to teens and young users as well and researchers have observed an increasing rate in recent years (from 8.7% in 2005 to 11.3% in 2014 in adolescents and from 8.8 to 9.6% in young adults), especially among girls and women. People themselves are a barrier to fighting this disease as they tend to hide their symptoms and do not receive treatments. However, protected by anonymity, they share their sentiments on the Web, looking for help. In this paper, we address the ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 30, 2020 Category: Bioinformatics Source Type: research

Molecular docking and ADMET-based mining of terpenoids against targets of type-II diabetes
AbstractDespite the availability of various medicines for the treatment of diabetes, plant-based drugs draw special attention due to their low cost and lesser side effects. The rhizomes of plantHedychium coronarium have been reported for its anti-diabetic activity previously. In the present study, docking and computational ADME parameters of a few terpenoid ligands isolated from the above-mentioned plant against two control molecules (Sitagliptin, Metformin) were compared. The retrieved docked images indicated the docking sites in the target protein. Out of the five compounds, Digoxigenin monodigitoxoside has shown the bes...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 29, 2020 Category: Bioinformatics Source Type: research

A multi-target approach for discovery of antiviral compounds against dengue virus from green tea
AbstractDengue virus (DENV) infection is one of the largest threats worldwide, and there is no any specific drug available in the market to combat its serious causes. In the present study, we attempted to screen the potential of green tea to inhibit DENV infection through known DENV multi-target, viz. nonstructural protein 1 (NS1), RNA dependent RNA polymerase domain (RDRP), and methyltransferase domain of non-structural protein 5 (MTD). A total of 25 bioactive compounds from the green tea were docked against the selected targets  that result into only three compounds with substantial binding affinity above − 9 kcal/m...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 13, 2020 Category: Bioinformatics Source Type: research

Prognostic significance of the Cdk5 gene in breast cancer: an in silico study
AbstractCyclin-dependent kinase 5 (Cdk5) functions as a tumor promoter in various types of cancer. Cdk5 is overexpressed in breast cancer patients. The prognostic significance of the Cdk5 gene and its expression in breast cancer were analyzed using various bioinformatic tools. Cdk5 gene expression in different breast cancer subtypes was analyzed using the Oncomine, UALCAN, and bcGenExMiner v4.2 websites. The correlation between Cdk5 mRNA expression and promoter methylation was established using TCGA datasets from the UCSC Xena and UALCAN websites. The relationship between Cdk5 promoter methylation and different clinicopath...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 13, 2020 Category: Bioinformatics Source Type: research

Time domain analysis on myoelectric activity of masseter muscles in resting and chewing conditions
The objective of this work is to record and analyze the electrical activity of themasseter muscle of healthy subjects during resting and chewing conditions. In this work, the electrical activity of themasseter muscle was recorded form healthy volunteers of different age, using non invasive surface electrodes. The EMG signals are recorded from left as well as right sides in resting and chewing conditions. The characteristics of the EMG signals in resting and chewing conditions are analyzed using various statistical measures, Fast Fourier Transforms (FFT) and Hjorth parameters such as complexity, activity, and mobility. Resu...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 11, 2020 Category: Bioinformatics Source Type: research