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Network pharmacological evaluation for identifying novel drug-like molecules from ginger (Zingiber officinale Rosc.) against multiple disease targets, a computational biotechnology approach
In this study, we identified 12 phytochemicals from the ginger rhizome extract (hexane) through GC/MS analysis. After evaluating drug-likeliness, these phytochemicals were docked with 16 target proteins in silico, and docking scores were compared with their respective control drugs. Furthermore, multivariate statistical analysis (principal component analysis-PCA) was performed, and three different chemical clusters were identified. Pharmacophore analysis further identified common functional descriptors in the compounds under study. Finally, we developed a unique three-level network taking phytochemicals, target proteins an...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 28, 2021 Category: Bioinformatics Source Type: research

Meta-analysis of the influence of exercise intervention based on medical images on the inhibitory control function of adolescents
This study explores the effect of long-term exercise on the inhibitory function of adolescents under the background of physical function training. Different intensity exercise intervention can improve the inhibitory function of adolescents to a certain extent and significantly improve the conversion function of adolescents. In this paper, medical imaging-based near-infrared spectroscopy imaging technology monitors the changes in the activation pattern of the brain ’s prefrontal lobe during the completion of psychological tasks, and combines the performance of cognitive behavior to evaluate the training benefits of long-t...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 20, 2021 Category: Bioinformatics Source Type: research

Data management and visualization of wearable medical devices assisted by artificial intelligence
AbstractWith the development of information technology and artificial intelligence technology, medical wearable devices are becoming more and more intelligent. At the same time, the continuous progress of information technology and artificial intelligence technology also makes intelligent medical wearable devices more and more complex, and the data generated by corresponding medical devices are also more and more huge. To further standardize the health data management of the corresponding wearable medical device monitoring management and improve the user stickiness and intelligence of wearable devices, this paper will stud...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 13, 2021 Category: Bioinformatics Source Type: research

An hybrid security framework using internet of things for healthcare system
AbstractIn recent decades, broad range of Internet of Things (IoT) technologies are deployed such as machine to machine communication, Internet Technologies (IT), robots, smart devices, and wireless sensor networks. IoT is a spectacular technology in the modern world of IT in which the objects can do data transmission and connect using the intranet or internet networks. Data security and privacy is one of the top most challenging issue where several researchers are showing interest that to especially in healthcare domain. For this reason, a hybrid combination of Elliptic Curve Digital Signature Algorithm (ECDSA), Rivest Ci...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 12, 2021 Category: Bioinformatics Source Type: research

A machine learning regression model for the screening and design of potential SARS-CoV-2 protease inhibitors
AbstractThe widespread infection caused by the 2019 novel corona virus (SARS-CoV-2) has initiated global efforts to search for antiviral agents. Drug discovery is the first step in the development of commercially viable pharmaceutical products to deal with novel diseases. In an effort to accelerate the screening and drug discovery workflow for potential SARS-CoV-2 protease inhibitors, a machine learning model that can predict the binding free energies of compounds to the SARS-CoV-2 main protease is presented. The optimized multiple linear regression model, which was trained and tested on 226 natural compounds demonstrates ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 24, 2021 Category: Bioinformatics Source Type: research

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 of ...
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