Network Modeling Analysis in Health Informatics and Bioinformatics Network Modeling Analysis in Health Informatics and Bioinformatics RSS feedThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Exploring the active constituents of Oroxylum indicum in intervention of novel coronavirus (COVID-19) based on molecular docking method
We report in this study a molecular docking study of eighteenOroxylum indicum molecules with the main protease (Mpro) responsible for the replication of SARS-CoV-2 virus. The outcome of their molecular simulation and ADMET properties reveal four potential inhibitors of the enzyme (Baicalein-7-O-diglucoside, Chrysin-7-O-glucuronide, Oroxindin and Scutellarein) with preference of ligand Chrysin-7-O-glucuronide that has the second highest binding energy ( − 8.6 kcal/mol) and fully obeys the Lipinski’s rule of five.Graphical abstract (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 6, 2021 Category: Bioinformatics Source Type: research

Identification of potential Parkinson ’s disease biomarkers using computational biology approaches
This study was conducted on an RNA-seq dataset of PD collected from BA9 tiss ues to get insights to PD. A few RNA-seq based transcriptomics studies on PD are available. However, most of these studies are limited to differential expression analysis, i.e., individual gene-based analysis that ignores interactions and associations among genes to establish the association with th e disease. Here, we initially identify differentially expressed genes and then construct a co-expression network on detected genes to identify modules. Module preservation analysis is carried out to find the non-preserved modules. We identify a non-pre...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 6, 2021 Category: Bioinformatics Source Type: research

A compressive mathematical model including an eclipse stage of infected cells to study the impact of stem cells transplantation on one HIV1 patient
AbstractWe propose a new mathematical model to study the effect of stem cells transplantation on HIV-1 patient as a system of first order nonlinear ordinary differential equations. We include in this model five populations: stem cells, free virus, productively infected cells, infected cells in the eclipse stage and non-infected T cells. The model admits two equilibrium states: a non-infected point and an endemically infected one. The study of the stability of the system before treatment is already known: If the “basic reproduction number” is smaller than 1, then the free disease point is asymptotically stable. If the ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 6, 2021 Category: Bioinformatics Source Type: research

The design of electronic medical records system using Skip-gram algorithm
AbstractTo improve the management ability of patient information and establish a feasible electronic medical record (EMR) management system, combined with the characteristics of e-commerce, the EMR system is established. Moreover, based on Skip-gram algorithm, the word database of EMR is segmented and extracted. First, the data in the EMR are preprocessed to extract the specific information from the EMR. Then, the data preprocessed based on Skip-gram algorithm are analyzed and processed to realize the automatic naming, recognition and annotation of EMR. The experimental results show that the precision, recall andF1-measure...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 1, 2021 Category: Bioinformatics Source Type: research

Epicatechin an incredible tool to dissociate MDM2-p53 interaction for treatment of glioblastomas: a molecular docking and molecular dynamics simulation approach
AbstractGlioblastomas, aggressive tumors that arise from malignant transformation of astrocytes, account for 60% brain cancer cases. Current treatments including radiation and chemotherapy accompanied by surgeries result in an average survival increment of 15  months. New therapeutics based on molecular pathology and pathways demonstrate great scope. p53, a tumor-suppressor protein is downregulated by MDM2. In malignant conditions, MDM2 levels increase immensely due to genetic mutations, causing excessive p53 downregulation, thereby enhancing malignancy to extremities. Inhibition of MDM-2 to p53 interaction by potent inhi...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 26, 2021 Category: Bioinformatics Source Type: research

Biological analysis and application research of the influence of exercise on pulse wave velocity (PWV)
AbstractPulse wave velocity (PWV) refers to the conduction velocity of the pressure wave propagated by the wall of the aorta when the human heart beats. In most cases, people regard it as an important indicator for evaluating the stiffness of arteries. In recent years, the incidence of cardiovascular diseases has continued to increase in our country, and the age of onset has continued to be younger. To better prevent and treat cardiovascular diseases, the assessment of arterial stiffness has become an important goal of many scholars at this stage. Exercise has always been one of the best choices for people to keep fit, and...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 22, 2021 Category: Bioinformatics Source Type: research

The design of medical IoT operation information platform using reactive algorithm and e-commerce O2O mode
AbstractTo apply the internet of things (IoT) to the medical operation system of the new era under the e-commerce online to offline (O2O) mode to realize the intelligent management of medical operation, first, the theoretical basis of the medical e-commerce O2O mode is put forward. First, the theoretical basis of O2O mode of medical e-commerce is proposed, and the reactive algorithm in a cloud computing environment is proposed. Based on the reactive algorithm, the medical IoT operation information platform is designed, including technical framework, development platform and operating framework; then, the database is design...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 18, 2021 Category: Bioinformatics Source Type: research

The human GPCR signal transduction network
AbstractThe eukaryotic cell surface G protein-coupled receptors (GPCRs) interact with a wide spectrum of ligands. The intracellular transmission of the extracellular signal is mediated by the selective coupling of GPCRs to G proteins, which, in turn, activate downstream effectors. GPCRs are of paramount pharmacological importance, with approximately 40% of all commercial drugs targeting these proteins. Herein, we have made an effort to unravel the molecular mechanisms underlying the GPCR-mediated signaling pathway and the way this pathway is associated with diseases. Network-based approaches were utilized to delineate the ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 14, 2021 Category: Bioinformatics Source Type: research

Compartment modelling and eigenvalue expansion to study the drug concentration in capillary and tissue regions surrounding the malignant tumour
AbstractThe drug transport mechanism in the biological tissue can be modelled for its effective and efficient performance. Mathematics is playing a key role in almost all biomedical research problems including drug kinetics. A mathematical model based on reaction –diffusion equation has been formulated to understand the drug transport and its diffusion in a cancerous tissue. The eigenvalue expansion has been used to obtain the solution of the ordinary differential equations concerning the rate of change of drug concentration in different compartments inclu ding capillary and tissue regions surrounding the malignant tumou...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 3, 2021 Category: Bioinformatics Source Type: research

In silico study to quantify the effect of exercise on surface GLUT4 translocation in diabetes management
AbstractType 2 diabetes mellitus is a serious metabolic disorder affecting global health and results in number of serious life-threatening complications leading to increased mortality rate. Complications can be prevented with early diagnosis and appropriate care. International Diabetes Federation and World Health Organization suggested an urgent need of national level actions to prevent type 2 diabetes. The adverse effects of adherence to drugs as antidiabetic agents at later stages cannot be avoided. Hence, alternative therapies are constantly explored by the researchers to mitigate type 2 diabetes. Exercise has a signifi...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 2, 2021 Category: Bioinformatics Source Type: research

Exploration and identification of novel inhibitors against Knowpain-4 of P. knowlesi using a combinatorial 3D pharmacophore modeling approach
AbstractPapain-like cysteine protease ofP. knowlesi is a significant target for the treatment of malaria infection.P. knowlesi poses a new threat to malaria eradication programs as it starts infecting humans. We have targetedP. knowlesi Knowpain-4 protein for inhibitor designing based on the molecular modeling simulations and structure-based pharmacophore modeling. In-depth sequence analysis reveals its crucial role in host hemoglobin degradation. Dihedral angles and QMEAN score analysis successfully validate the modeled structure of Knowpain4. The docking simulation leads to the prediction of E64 poses at the binding site...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - October 24, 2020 Category: Bioinformatics Source Type: research

Classification of heart sound short records using bispectrum analysis approach images and deep learning
AbstractThe diagnosis of cardiac disorders using heart sounds is one of the hottest topics in recent years. In general, diagnosing in the early stage is usually performed using routine auscultation examination using a stethoscope which requires human interpretation. Recording of heart sounds using an electronic microphone embedded inside the stethoscope provides a digital recording which is known as a phonocardiogram (PCG). This PCG signal carries very informative data about the status of the heart and its valves. Recently, several machines and deep learning techniques employed signal processing to classify heart disorders...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - October 10, 2020 Category: Bioinformatics Source Type: research

Disease discovery-based emotion lexicon: a heuristic approach to characterise sicknesses in microblogs
This study proposes a heuristic mechanism by using an unsupervised learning technique to efficiently detect disease incidents and outbreaks from the tweet content. We categorised the types of emotions that are highly linked to a specific disease and its related terminologies. Emotions (anger, fear, sadness, and joy) and diabetes-related terminologies were extracted using the NRC Affect Intensity Lexicon and part-of-speech tagging tool. A two-cluster solution was established and validated. The classification results showed that K-means clustering with two centroids had the highest classification accuracy (96.53%). The relat...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 21, 2020 Category: Bioinformatics Source Type: research

Improving the performance of P300 BCI system using different methods
AbstractA brain –computer interface (BCI) can be used for people with severe physical disabilities such as ALS, or amyotrophic lateral sclerosis. BCI can allow these individuals to communicate again by creating a new communication channel directly from the brain to an output device. BCI technology can allow paral yzed people to share their intent with others, and thereby demonstrate that direct communication from the brain to the external world is possible, and that it might serve useful functions. In this paper, we propose a system to exploit the P300 signal in the brain, a positive deflection in event-rela ted potentia...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 20, 2020 Category: Bioinformatics Source Type: research

Moment invariants for cancer classification based on electron –ion interaction pseudo potentials (EIIP)
AbstractCancer is considered one of the most dangerous diseases leading to imminent death during recent decades. It spreads quickly at a frightening pace to all parts of the body and early detection of such diseases may help reduce the risks. Many methods have been used to classify and predict the outcome of cancer, such as image processing techniques, artificial intelligence, and nanotechnology. Out of these methods, artificial intelligence techniques have played an essential role and have provided satisfying results from different investigations in various fields. Considering that cancer is a genetic disease, electron ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 19, 2020 Category: Bioinformatics Source Type: research