A theoretical model for an electromagnetic antenna in induction of virtual T cells
AbstractCancer cells make a PD1/PD-L1 bridge with T cells and inject death factors into them. Recently, many methods and drugs have been proposed to prevent PD1/PD-L1 connections; however, most of them are very expensive and could not work well. We propose a theoretical model for an electromagnetic antenna which induces virtual T cells within the blood vessels. These electromagnetic T cells deceive cancer cells and their virtual PD1s are connected to real PD-L1s. Consequently, the number of real PD1/PD-L1 connections decrease and real T cells could have the opportunity to kill the cancer cells. This is a theoretical model....
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 14, 2021 Category: Bioinformatics Source Type: research

Implementation of noise and hair removals from dermoscopy images using hybrid Gaussian filter
AbstractSkin cancer is the leading type of cancer which causes millions of deaths of human beings. Early identification and appropriate medications for new harmful skin malignancy cases are fundamental to guarantee a low death rate as the survival rate. To effectively classify skin cancers, it is necessary to remove the noise and hair from dermoscopy images. But the existing methods failed to achieve maximum efficiency, to solve these problems. In our proposed system we implemented a multi-resolution joint Gaussian filter (GF) with a hybrid decision-based window mask generation (HDWMG) approach for denoising of dermoscopy ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 12, 2021 Category: Bioinformatics Source Type: research

A novel ToCC map and two-level scrambling-based medical image encryption technique
AbstractSince the past few decades, various methods for diagnosis of different diseases have been introduced in the area of medical science. One such invention is the use of digital images to detect different types of diseases. Images obtained from X-rays, CT scans and MRI scans are the most common examples. These images contain a lot of data that need protection from unauthorised access. To avoid this unauthorized access, different types of encryption schemes are used. Chaos mechanism has gained popularity because of its randomness and initial sensitivity properties. In this research paper, a new one-dimensional Tangent o...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 8, 2021 Category: Bioinformatics Source Type: research

Community and topic modeling for infectious disease clinical trial recommendation
In this study, we propose to use network analysis to understand infectious disease clinical trial research. Our goal is to understand two important issues related to the clinical trials: (1) the concentrations and characteristics of infectious disease clinical trial research, and (2) recommendation of clinical trials to a sponsor (or an investigator). The first issue helps summarize clinical trial research related to a particular disease(s), and the second issue helps match clinical trial sponsors and investigators for information recommendation. By using 4228 clinical trials as the test bed, our study investigates 4864 sp...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 7, 2021 Category: Bioinformatics Source Type: research

COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data
In conclusion, the application of the proposed methodology provides a network-based representation of the COVID-19 measures by highlighting the different behaviour of regions with respect to pandemics data released by Protezione Civile and climate data. The methodology and its implementation as R function are publicly available athttps://github.com/mmilano87/analyzeC19D. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 2, 2021 Category: Bioinformatics Source Type: research

Intuitionistic fuzzy approach improve protein multiple sequence alignment
In this study, to improve the sensitivity of progressive multiple sequence alignments, a new method for pairwise distance measurement based on the intuitionistic fuzzy proposed. Reference sequences from BALiBASE 4.0 (hand-aligned), PREFAB 4.0 (structurally supervised), and OXBench systems were employed to evaluate system performance. For checking the quality, the test alignments score in terms of SP-, C-, and TC score evaluated by the Friedman ranks test at the statistically significant level. The unweighted paired group with arithmetic mean hierarchical clustering (PIFD-UHC) and neighbor-joining-based hierarchical cluster...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 25, 2021 Category: Bioinformatics Source Type: research

Molecular docking and dynamics studies of curcumin with COVID-19 proteins
In this study, we show the binding potential of curcumin targeted to a variety of SARS-CoV-2 proteins, viz. spike glycoproteins (PDB ID: 6VYB), nucleocapsid phosphoprotein (PDB ID: 6VYO), spike protein-ACE2 (PDB ID: 6M17) along with nsp10 (PDB ID: 6W4H) and RNA dependent RNA polymerase (PDB ID: 6M71) structures. Furthermore, representative docking complexes were validated using molecular dynamics simulations and mechanistic studies at 100  ns was carried on nucleocapsid and nsp10 proteins with curcumin complexes which resulted in stable and efficient binding energies and correlated with that of docked binding energies...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 10, 2021 Category: Bioinformatics Source Type: research

2D finite element estimation of calcium diffusion in Alzheimer ’s affected neuron
This study may help the theoretical scientists in knowing the role of calciumopathy in AD. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 8, 2021 Category: Bioinformatics Source Type: research

Modeling and simulation of glucose insulin glucagon algorithm for artificial pancreas to control the diabetes mellitus
AbstractArtificial pancreas systems the courage to remove this risk by taking existing pump technology to a new level. In this paper, we modified the existing model for type 1 diabetes mellitus to discuss different control strategies for the artificial pancreas. A model consists of eight states variables and various parameters, numerous of which are undefined and complicated to find out correctly. The stability of glucose-insulin in humans has been created and validated the non-negative unique solution. Controllability and observability for the glucose-insulin system is treated for feedback design to develop the artificial...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 8, 2021 Category: Bioinformatics Source Type: research

Intelligent decision support model using tongue image features for healthcare monitoring of diabetes diagnosis and classification
AbstractDiabetes Mellitus (DM) is a serious health problem that affects majority of peoples worldwide, the conventional diagnosis procedure estimates the amount of glucose level in blood and the treatment is to regulate the blood glucose to desired level. As an alternative, an ancient therapy that has been followed for more than two millennium period is the Traditional Chinese Medicine (TCM). Tongue feature analysis is the main strategy followed by the TCM experts as the diagnosing procedure to identify and locate diabetes. In this research article, a computer aided intelligent decision support model is developed, the CNN ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 4, 2021 Category: Bioinformatics Source Type: research

Molecular docking and dynamic simulation of UDP-N-acetylenolpyruvoylglucosamine reductase (MurB) obtained from Mycobacterium tuberculosis using in silico approach
In this study, the crystal structure of MurB from MTB (PDB Code: 5JZX and resolution of 2.2  Å) bound to FAD and K+ was obtained from Protein Data Bank (PDB). A total of 2157 compounds with the best binding conformations were obtained from the Zinc database through virtual screening. These compounds further screened for drug-likeness, pharmacokinetic properties, physicochemical properties (Lipinski rule of five), and molecular docking analysis to identified ligands with desirable therapeutic properties and good binding energies against MurB. The ligands with the best binding energies were subjected to molecular ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 2, 2021 Category: Bioinformatics Source Type: research

A hybrid feature selection model based on improved squirrel search algorithm and rank aggregation using fuzzy techniques for biomedical data classification
AbstractFeature selection has gained its importance due to the voluminous nature of the data. Owing to the computational complexity of wrapper approaches, the poor performance of filtering techniques, and the classifier dependency of embedded approaches, hybrid approaches are more commonly used in feature selection. Hybrid approaches use filtering metrics to reduce the computational complexity of wrapper algorithms and are proved to yield better feature subset. Though filtering metrics select the features based on their significance, most of them are unstable and biased towards the metric used. Moreover, the choice of filt...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 2, 2021 Category: Bioinformatics Source Type: research

Repurposing natural compounds as potent inhibitors of β-catenin: an integrative in-silico approaches
AbstractNon-small cell lung cancer is one of the hostile diseases among lung cancer diseases and it is mainly due to the presence of cancer stem cells (CSCs). Since CSCs play a crucial role in homeostasis and embryonic development. β-catenin is one of the promising targets in CSC pathways for the development of novel therapeutic agents against NSCLC. Keeping this in mind, an effort was made to unearth novel β-catenin inhibitors from the plant-derived NPACT database which exhibits 1574 compounds. Initially, an e-pharmacophore hypothesis, receptor-cavity-based hypothesis, and shape-based screening were performed ba...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 1, 2021 Category: Bioinformatics Source Type: research

In-silico designing of epitope-based vaccine against the seven banded grouper nervous necrosis virus affecting fish species
In this study we developed an epitope-based vaccine (EBV), against NNV using computation approach. We have selected two conserved proteins RNA-dependent RNA polymerase (RdRP) and capsid proteins. Based on more than  ~ 1000 epitopes we selected six antigenic epitopes. These were conjugated to adjuvant and linker peptides to generate a full-length vaccine candidate. Biochemical structural properties were analyzed by Phyre2 server. ProtParam, Molprobity. Ramachandran plot results indicate that 98.7% residues are in a favorable region and 93.4% residues in the favored region. The engineered EBV binds to toll like...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 31, 2021 Category: Bioinformatics Source Type: research

A study to find a potent feature by combining the various disulphide bonds of protein using data mining technique
AbstractIn the sphere of bioinformatics, the identification of an effective protein feature, is of the essence. The fruitfulness of any classification technique, relies heavily on the identification of informative and distinct features. Various pre-existing classifiers recognised the use of a single type of disulphide bond (viz, parallel, or alternate) as a useful feature. However, the computational efficiency may be increased by the identification of appropriate combination of disulphide bonds, as a single feature. Hence, in this paper, the various combinations of disulphide bonds have been studied, to formulate a potent ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 25, 2021 Category: Bioinformatics Source Type: research

Hybrid image encryption scheme for secure E-health systems
AbstractDNA computing is an area of natural computing inspired by molecular biology. It can be used to perform arithmetic and logic operations on information encoded as DNA strands. Due to the rapid development of network technology, E-health care services are helpful for all patients from anywhere at any time. Patients can use these services through a public channel. The security of patients ’ privacy is therefore an essential issue in E-health care. In this paper, an encryption scheme is proposed for hiding patient information in a medical image using the Least Significant Bit algorithm, which involves hiding data ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 8, 2021 Category: Bioinformatics Source Type: research

CHD3/4/5/6/8 serve as potential prognostic predictors in human gastric cancer
AbstractChromodomain helicase DNA (CHD) binding protein is one class of chromatin remodeling factors, which are essential in gastric cancer (GC) development. However, the role of distinct CHD family member in GC is rarely understood. To resolve this issue, a comprehensive analysis of the prognostic significance of CHD members in GC was performed using Oncomine, UALCAN, GEPIA, Kaplan –Meier Plotter, cBioPortal, LinkedOmics and STRING databases. The mRNA expression of all CHD members was different in GC samples compared with normal controls, and CHD 1/2/3/6/9 expression was remarkedly correlated with advanced cancer st...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 5, 2021 Category: Bioinformatics Source Type: research

Swarm optimization-based neural network model for secondary structure prediction of proteins
AbstractProteins form the basis of all major life processes that sustain life. The functionality of a protein is a direct consequence of its underlying structure. Protein structure prediction thus serves to ascertain the function of similar or dissimilar proteins, accordingly. Secondary structure prediction paves way for 3D structures that eventually decides protein properties. It also aims to facilitate probable structures for proteins whose structures remain undiscovered. Although experimental approaches have been quite efficient in extracting protein secondary structure from its amino acid sequence, yet it is often cumb...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 30, 2021 Category: Bioinformatics Source Type: research

Inhibitory effect of anti-HIV compounds extracted from Indian medicinal plants to retard the replication and transcription process of SARS-CoV-2: an insight from molecular docking and MD-simulation studies
In this study, inhibitory efficiency of ten anti-HIV compounds from different Indian medicinal plant parts have been virtually screened against Mpro, PLpro and RdRp proteins of SARS-CoV-2. The molecular docking study reflected that among these compounds, Proptine (PTP) has the highest binding affinity for the three cases. Introduction of PTP molecules within the binding pocket of these proteins showed a large structural and conformational changes on the structure of proteins which is revealed from molecular dynamics (MD) simulation studies. RMSD, RMSF and analysis of thermodynamic parameters also revealed that PTP makes a ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 30, 2021 Category: Bioinformatics Source Type: research

Guest Editorial: Intelligent solutions for green computing in internet of medical things
(Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 26, 2021 Category: Bioinformatics Source Type: research

Exploration of targets and molecular mechanisms of cinnamaldehyde in overcoming fulvestrant-resistant breast cancer: a bioinformatics study
This study aimed to identify the targets and molecular mechanisms of cinnamaldehyde in overcoming fulvestrant-resistant breast cancer using a bioinformatics approach. The microarray data of fulvestrant-resistant and cinnamaldehyde-treated MCF-7 cells were obtained from GSE74391 and GSE85871, respectively, and a total of 310 differentially expressed genes (DEGs) were recovered from these databases. Gene Ontology analysis revealed several DEGs that participated in metabolic processes, responded to a stimulus, were located in the membrane and nucleus, and regulated the molecular functions of the protein and ion binding. Drug ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 22, 2021 Category: Bioinformatics Source Type: research

A novel enhanced decision tree model for detecting chronic kidney disease
This study uses the recursive feature elimination (RFE) method that selects an optimal subset of features and an ensemble algorithm, the enhanced decision tree (EDT), to predict the disease. The results obtained in this paper show that the accuracy level of EDT is not changed with the removal of less significant features, thus enabling the decision-makers to concentrate on few features to reduce time and error of treatment. EDT establishes substantially high consistency in predicting, with or without feature selection, the disease. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 11, 2021 Category: Bioinformatics Source Type: research

Binding ability of arginine, citrulline, N -acetyl citrulline and thiocitrulline with SARS COV-2 main protease using molecular docking studies
AbstractIn this article, the binding abilities of arginine, citrulline,N-acetyl citrulline and thiocitrulline on the active sites of SARS-COV-2 protease have been investigated using in-silico studies. All the above ligands bind selectively and preferentially to Cys-145 active site and also to other amino acids surrounding to it in the main protease. Of which arginine forms less number of weaker bonds compared to the other ligands, it by itself is a precursor for the formation of citrulline analogues with in the cell. Major advantage of using the above ligands is that in addition to its preferential binding, they have the a...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 6, 2021 Category: Bioinformatics Source Type: research

Unveiling ancestral relations, host –pathogen interactions and comparative viral miRNA insights of dengue virus serotypes
This study can facilitate one stepping stone in the development and production of preventive, affordable, and safe antiviral medications. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 5, 2021 Category: Bioinformatics Source Type: research

Telehealth and the digital divide as a social determinant of health during the COVID-19 pandemic
AbstractTelehealth has been shown to have comparable health outcomes in terms of patient-physician communication, and patient satisfaction and engagement. Nevertheless, the digital divide has exacerbated the social and economic factors that create barriers to health and well-being. It, therefore, maybe a social determinant of health (SDOH). Such issues as decreased internet connectivity and a lack of Wi-Fi and video chat/webcam in both urban and rural areas can hinder the effectiveness of telehealth to its full capability, especially among communities of color, the poor, and medically underserved. The social aspects of the...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 3, 2021 Category: Bioinformatics Source Type: research

Artificial intelligence for a bio-sensored detection of tuberculosis
AbstractThe advancement and well-evolved technology in international clinical discipline, tuberculosis remains a major health hazard. To resolve the hassle of tuberculosis, synthetic artificial intelligence (AI) affords the manner for solving trouble in actual global and enlightens the sector in bringing a human ’s mind to a gadget. This paper targets to discover the presence of Mycobacterium tuberculosis infection within a brief span of time as compared to historical technique. it is designed in this type of way that the breath of the inflamed man or woman may be used to diagnose the sickness at premiere stage. The ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 2, 2021 Category: Bioinformatics Source Type: research

In-silico and Molecular Docking Studies on Germacrene A Synthase enzyme and sesuiterpene lactone (Lactucin) involved in antimalarial activity of Cichorium intybus
This study demonstrates the structural and physiochemical properties of the enzyme Germacrene A Synthase through various bioinformatics approaches along with the docking studies. Through the in silico studies it was found that Germacrene A synthase protein interact with the lactucin with the lower energy − 7.3 kcal/mol and total 3 hydrogen bonds were formed by the Germacrene A Synthase at Gly45, Leu46, Tyr246 respectively while Leu41, Glu47, Tyr49, Asn43, Asp42, Ala50, Gln250, Leu249 amino acid residues act together through hydrophobic interactions. It was also found that the Hsp 90 protein of m alaria para...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 28, 2021 Category: Bioinformatics Source Type: research

Benchmarking mass spectrometry based proteomics algorithms using a simulated database
AbstractProtein sequencing algorithms process data from a variety of instruments that has been generated under diverse experimental conditions. Currently there is no way to predict the accuracy of an algorithm for a given data set. Most of the published algorithms and associated software has been evaluated on limited number of experimental data sets. However, these performance evaluations do not cover the complete search space the algorithm and the software might encounter in real-world. To this end, we present a database of simulated spectra that can be used to benchmark any spectra to peptide search engine. We demonst...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 26, 2021 Category: Bioinformatics Source Type: research

In silico studies of selected multi-drug targeting against 3CLpro and nsp12 RNA-dependent RNA-polymerase proteins of SARS-CoV-2 and SARS-CoV
AbstractAn outbreak of a cluster of viral pneumonia cases, subsequently identified as coronavirus disease 2019 (COVID-19), due to a novel SARS-CoV-2 necessitates an urgent need for a vaccine to prevent infection or an approved medication for a cure. In our in silico molecular docking study, a total of 173 compounds, including FDA-approved antiviral drugs, with good ADME descriptors, and some other nucleotide analogues were screened. The results show that these compounds demonstrate strong binding affinity for the residues at the active sites of RNA-dependent RNA-polymerase (RdRp) modelled structures and Chymotrypsin-like c...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 25, 2021 Category: Bioinformatics Source Type: research

An improved unsupervised learning approach for potential human microRNA –disease association inference using cluster knowledge
AbstractRecently, microRNAs (miRNAs) have been shown to play significant roles in the progression of major human diseases. Identifying associations between human diseases and miRNAs using computational tools have attracted considerable attention. Experimental identification and validation of disease –miRNA associations are rare and time consuming. We propose a computational method for predicting associations to understand pathogenicity and uncover prognosis markers. Existing methods employed approaches based on network and machine learning to predict miRNA disease. However, these approaches d o not consider the clust...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 23, 2021 Category: Bioinformatics Source Type: research

Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images
In this study, different major contributions are summarized as review studies that adopted deep learning approaches and machine learning techniques to address each of the limitations and problems in retinal blood vessel segmentation and classification techniques. We also review the current challenges, knowledge gaps and open issues, limitations and problems in retinal blood vessel segmentation and classification techniques. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 19, 2021 Category: Bioinformatics Source Type: research

Computational design of novel AKT inhibitors
AbstractThe study entails the computational design of novel anticancer compounds which specifically targets the AKT signaling pathway by inhibit the AKT protein. The work was done by carrying out a molecular docking study on nine (9) identified approved FDA drugs collected from the bindingDB.org website. The results of the docking study revealed that A-674563 had the best-free energy of binding value of − 32.63 kcal/mol, while AT-7867 and AZD563 molecules were reported to have − 30.978 and − 27.668 kcal/mol binding energy value, respectively. Molecule A674563 was selected as lead compound further sub...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 9, 2021 Category: Bioinformatics Source Type: research

Improved filtering approach for identification of protein-coding regions in eukaryotes by background noise reduction using S –G filter
AbstractUnlike prokaryotic genomes, the arrangement of protein-coding regions in eukaryotic genomes is not continuous. It is interrupted by the non-coding DNA sequences called introns. Therefore, the identification of protein-coding regions in a eukaryotic DNA sequence is one of the challenging research issues in bioinformatics. Signal processing-based computational tools such as short-time discreet Fourier transforms (STDFT) and narrow bandpass digital filters has been successfully used to resolve this problem. Filtering techniques are popularly used because of its faster response than the transform techniques. However, t...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 9, 2021 Category: Bioinformatics Source Type: research

A mathematical model of COVID-19 transmission between frontliners and the general public
AbstractThe number of COVID-19 cases is continuously increasing in different countries including the Philippines. It is estimated that the basic reproduction number of COVID-19 is around 1.5 –4 (as of May 2020). The basic reproduction number characterizes the average number of persons that a primary case can directly infect in a population full of susceptible individuals. However, there can be superspreaders that can infect more than this estimated basic reproduction number. In this s tudy, we formulate a conceptual mathematical model on the transmission dynamics of COVID-19 between the frontliners and the general pu...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 8, 2021 Category: Bioinformatics Source Type: research

Physical health of teenagers and the biological characteristics affecting sports-related physical fitness
AbstractThe physical health of young people is closely related to the rise and fall of social development, but in recent years, the physical health of young people has shown a downward trend, which is worrying. To enhance the physical health of adolescents, this article takes the physical health experiment as the premise, through the use of LOT sensors to detect physical changes during exercise, and uses case investigations and literature survey methods to read and analyze a large number of relevant documents. According to research needs, through the use of examples And the research and summary of the content of the litera...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 3, 2021 Category: Bioinformatics Source Type: research

Biological analysis of trunk support strength training in sports training
In this study, 12 male athletes of a track and field team were divided into experimental group (n = 6) and control group (n = 6). The experimental group received trunk support strength training, while the control group received conventional strength training. Before the experiment, the basic qualities of the two groups of athletes were counted, and the related indexes of functional movements and dynamic balance abil ity of the two groups of athletes were tested. After 8 weeks, the relevant indexes were tested again to compare the data. The experimental data show that there is no significant...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 1, 2021 Category: Bioinformatics Source Type: research

Estimation of drug-likeness properties of GC –MS separated bioactive compounds in rare medicinal Pleione maculata using molecular docking technique and SwissADME in silico tools
AbstractThe main aim of the paper was to determine bioactive compounds inPleione maculata extracts using gas chromatographic technique and to investigate their drug-likeness potential using molecular docking algorithm and ADME studies on the recent intractable disease, for example, SARS-CoV-2.Pleione maculata sample was prepared for GC –MS analysis. The peak components were identified based on the NIST Library. Molecular docking was performed using PatchDock, and energy refinement was carried out using the FireDock algorithm followed by drug-likeness analysis using the SwissADME tool. The mass spectrum revealed vario...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 24, 2021 Category: Bioinformatics Source Type: research

Stenosis diagnosis based on peripheral arterial and artificial neural network
AbstractThe current diagnosis methods of arterial stenosis need to rely on large-scale equipment, which cannot provide early warning for patients with arterial stenosis and make them miss the best treatment opportunity. Therefore, we present an algorithm for the diagnosis of arterial stenosis, which is based on neural network. The input of neural network is peripheral pulse wave signal, and the output is the degree and location of arterial stenosis. The acquisition of peripheral pulse wave signal is convenient, and patients can detect it at home. In this paper, we extend firstly the existing human arterial transmission lin...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 21, 2021 Category: Bioinformatics Source Type: research

Recognition of psychological emotion by EEG features
In this study, Weibo, Fudan, and diary data sets were selected as data for psychological emotional research. The experimenter has mounted an electrode cap to test changes in the EEG signals when viewing various types of images, text and video. In t his study, we extract and process EEG signals using wavelet transform and effectively identify and classify psychological emotions using support vector machines (SVM) and k-nearest neighbor algorithm. The results show that the average recognition rate of the improved grid PSVM method is 0.5% higher than that of the grid proximal support vector machine (PSVM) method; the average ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 20, 2021 Category: Bioinformatics Source Type: research

An integrative docking and simulation-based approach towards the development of epitope-based vaccine against enterotoxigenic Escherichia coli
AbstractEnterotoxigenicE.coli is causing diarrheal illness in children as well as adults with the majority of the cases occurring in developing countries. To reduce the number of cases occurring worldwide, the development of an effectual vaccine against these bacteria can be the only prevention. This conjectural work was performed using modern bioinformatics tools for investigation of proteome of ETEC strain E24377A. Different computational vaccinology approaches were deployed to assess several parameters including antigenicity, allergenicity, stability, localization, molecular weight and toxicity of the predicted epitopes...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 18, 2021 Category: Bioinformatics Source Type: research

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. ...
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 ...
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 t...
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