Network Modeling Analysis in Health Informatics and Bioinformatics This 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.

Deciphering the function of unknown Leishmania donovani cytosolic proteins using hyperparameter-tuned random forest
This study reported the function of the unknown proteins ofL. donovani which is imperative information for this parasite. They could be an important and promising target for new drug discovery vaccine candidate development. Further characterization and in-depth study of these unknown proteins may open a gate for successful therapy of fatal VL. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - December 1, 2019 Category: Bioinformatics Source Type: research

3D mathematical modeling of calcium signaling in Alzheimer ’s disease
AbstractThe present paper focuses on the solution of the three-dimensional calcium advection –diffusion equation in the presence of calcium-binding buffers. As buffers play an important role in maintaining cytosolic calcium concentration level, decrease in buffers leads to increase in cytoplasmic calcium which may further lead to toxicity of Alzheimer’s disease. The governing three-dime nsional differential equation has been further converted into one-dimensional equation using similarity transforms. The solution is obtained analytically using Laplace transforms and suitable boundary conditions. The obtained solution i...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - November 17, 2019 Category: Bioinformatics Source Type: research

Numerical study of one-dimensional buffered advection –diffusion of calcium and $${\text {IP}}_{3}$$ IP 3 in a hepatocyte cell
AbstractThe intracellular calcium signaling plays a crucial role in maintaining chemical homeostatic in all human organelles. In the hepatocyte cell, interdependent calcium and\({\text {IP}}_{3}\) dynamics are affected by numerous physiological processes such as advection, diffusion, and buffering. The higher amount of calcium is hazardous to cell; therefore, various factors like influxes, effluxes of calcium from internal storage compartments play vital role for supplying or pumping calcium back into the compartment.\({\text {IP}}_{3}\) is needed for calcium release, while the increase in calcium decreases the\({\text {IP...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - November 1, 2019 Category: Bioinformatics Source Type: research

Automated grading of non-small cell lung cancer by fuzzy rough nearest neighbour method
AbstractLung cancer is one of the most lethal diseases across the world. Most lung cancers belong to the category of non-small cell lung cancer (NSCLC). Many studies have so far been carried out to avoid the hazards and bias of manual classification of NSCLC tumors. A few of such studies were intended towards automated nodal staging using the standard machine learning algorithms. Many others tried to classify tumors as either benign or malignant. None of these studies considered the pathological grading of NSCLC. Automated grading may perfectly depict the dissimilarity between normal tissue and cancer affected tissue. Such...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 24, 2019 Category: Bioinformatics Source Type: research

Chronic fatigue syndrome: identification of transcription factor (TFs) associated with gene expression for drug signature prediction
This study also found that small-molecules BRD-A94756469, S1205, Sotalol hydrochloride, methylandrostenediol and BRD-A94756469 can potentiall y reverse gene expression in CFS disease. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 16, 2019 Category: Bioinformatics Source Type: research

QSAR modeling for the prediction of pGI 50 activity of compounds on LOX IMVI cell line and ligand-based design of potent compounds using in silico virtual screening
AbstractThe anti-melanoma activity (pGI50) values of 71 compounds from the National Cancer Institute (NCI) data bank on LOX IMVI cell line were modeled to illustrate the Quantitative structure –activity relationship (QSAR) of the compounds. The genetic function algorithm (GFA) has been used to select the most relevant descriptors so as to improve the performance of the QSAR model. The statistical significance of the model was verified based on the values of validation parameters such as\( R_{{{\text{train}} }}^{2} \) (0.867),\( R_{{{\text{adj}} }}^{2} \) (0.848),\( Q_{{{\text{cv}} }}^{2} \) (0.809) and\( R_{{{\text{test}...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 11, 2019 Category: Bioinformatics Source Type: research

An energy-efficient multi-hop routing protocol for health monitoring in wireless body area networks
AbstractWireless Body Area Network (WBAN) is an emerging field in computer technology, that plays vital role in society, which facilitates the medical practitioners to remotely monitor and allows them to provide accurate treatment to patients. In WBAN, routing plays an important role to prolong the life time of WBAN. Routing establishes the path between wireless sensor nodes and sink node. In this paper, we propose a protocol in WBAN which transfers body sensing data from various sensors, deployed on human body, to sink node using multi-hop routing technique. The main objective of our approach is to prolong the average net...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - September 4, 2019 Category: Bioinformatics Source Type: research

A new approach (EDIZ) for big data variant prioritization
In this study, we aimed to upgrade our previous in-house variant prioritization method to analyse WES data without using in silico methods. By this method, the annotated da ta have been decreased by means of 52.3 times. Therefore, we both established a successful WES workflow for increasing the diagnostic rate of patients with reducing the raw data. Recently, we are also building a web-based workflow to help the users from all over the world. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 9, 2019 Category: Bioinformatics Source Type: research

BicBioEC: biclustering in biomarker identification for ESCC
AbstractAnalysis of gene expression patterns enables identification of significant genes related to a specific disease. We analyze gene expression data for esophageal squamous cell carcinoma (ESCC) using biclustering, gene –gene network topology and pathways to identify significant biomarkers. Biclustering is a clustering technique by which we can extract coexpressed genes over a subset of samples. We introduce a parallel and robust biclustering algorithm to identify shifted, scaled and shifted-and-scaled biclusters of high biological relevance. Additionally, we introduce a mapping algorithm to establish the module–bic...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - August 1, 2019 Category: Bioinformatics Source Type: research

A mathematical model for interdependent calcium and inositol 1,4,5-trisphosphate in cardiac myocyte
AbstractCalcium (\({\text {Ca}}^{2+}\)) signaling is the secondary signaling processes which have been one of the most vital intracellular signaling mechanisms. Over recent decades, this signaling process has been studied a lot in various cells to understand its mechanisms and also cure of various health hazards. In this paper, an attempt has been made to propose a model for coupled dynamics of\({\text {Ca}}^{2+}\) and inositol 1,4,5-trisphosphate (\({\text {IP}}_3\)) in cardiac myocyte for a better understanding of the dependence of\({\text {Ca}}^{2+}\) signaling on other chemical ions such as\({\text {IP}}_3\) ions. The ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 22, 2019 Category: Bioinformatics Source Type: research

Protein crystallization screening using enhanced associative experimental design
AbstractProtein crystallization screening helps determine factors (e.g., salts, pH of buffers, ionic strengths, temperature, and type of precipitants) that are favorable for the formation of a large protein crystal suitable for X-ray crystallography. While existing commercial screens may not generate crystalline outcomes for difficult proteins, their outcomes could be used for recommending novel screens. Current methods for protein crystallization screening such as associative experimental design (AED) process only cocktails having one chemical per reagent while ignoring cocktails with multiple chemicals per reagent. To an...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - July 21, 2019 Category: Bioinformatics Source Type: research

Homology modeling and in silico toxicity assessment of potential inhibitors of cytidylate kinase from Mycobacterium tuberculosis
In this study, the novel inhibitors of CMK were identified using in silico approach. Homology modeling was used to build the three-dimensional (3D) structure of CMK using program implemented in Modeller 9.16 and based on the template (3R20) obtained fromMycobacterium smegmatis. Structural analysis of CMK showed that it has P-loop or core in the ATP binding domain, nucleoside monophosphate binding (NMP) site, and a LID domain. Inhibition of any of the residues that formed the nucleoside binding site or ATP binding site blocks the catalytic activity of the CMK. Eleven thousand four hundred and fifty-four compounds that had a...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 18, 2019 Category: Bioinformatics Source Type: research

Comparative binding studies of curcumin and tangeretin on up-stream elements of NF-kB cascade: a combined molecular docking approach
In this study, we found that proteosome has shown the highest docking energy (− 98.64 kcal/mol) and it is suggested to be as crucial drug target in NF-kB cascade. However, further experimental and clinical verificati on is needed for clear evidence. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 18, 2019 Category: Bioinformatics Source Type: research

Review of topics related to autism spectrum disorder on Twitter
In this study, we have reviewed a month of tweets of users regarding this context. We showed in this research that people highly cooperate with each other in raising awareness and treatment of autism, which can greatly help in further recognizing of autism and also indicates the influence of Twitter as a social network on improvement and training of people on how to cope with autism. (Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 16, 2019 Category: Bioinformatics Source Type: research

Network building and analysis in connectomics studies: a review of algorithms, databases and technologies
AbstractThe study of connectome, the complex system of connections in the human brain, has gained a central role in neurosciences. It has turned out to be popular in the field of neuroimaging to model and analyze the brain represented by a network. The graph model of the brain is a framework used to represent neuroanatomical regions or region of interest (ROI) as nodes and their connections. These connections, or edges, can either be functional, by representing physiological activity, or can be structural, representing anatomical connections formed by axonal fiber tracts. The development of new technologies for mapping of ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - June 14, 2019 Category: Bioinformatics Source Type: research