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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 main...
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 parasite bound w...
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 demons...
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 cluster i...
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 subjected to a stru...
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 public...
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 difference between the ...
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 various p...
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