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The hepatitis B virus × protein (HBx) of Hepatitis B virus activates AP-1 protein and causes the down regulation of PTEN (full name) and p53 leads to the tumor formation in liver. In this study, the interactions between DNA and AP-1 have been targeted by docking of natural compounds epigallocatechine gallate (EGCG), curcumin, luteoline, genistein, ellagic acid, resveratrol, lupeol, betulinic acid...
Shifting and scaling correlations are correspondent of biological significance in gene expression data analysis. Recent works have mentioned about the significance of negative correlation as well. In this paper, we distinguish and define the negative form of shifting and scaling correlations as negatively shifted correlation and negatively scaled correlation, respectively. Another issue in gene expression...
Multi-class classification is an important and challenging problem for biological data classification. Typical methods for dealing with multi-class classification use a powerful single classifier such as neural networks to classify the data into one of many classes. Alternatively, the binary classifiers are used in one-versus-one (OVO) and one-versus-all (OVA) classifier schemes for multi-class classification...
Diabetic maculopathy is a disease that may affect central vision and lead to blindness in severe cases. In this direction, the proposed automated system for grading the severity level of diabetic maculopathy can assist the ophthalmologists in early detection and diagnosis of the disease. Presence of exudates in the macular region is an important indication of maculopathy. The macula is localized based...
Online pro-health social networks facilitating smoking cessation through web-assisted interventions have flourished in the past decade. In order to properly evaluate and increase the impact of this form of treatment on society, one needs to understand and be able to quantify its reach, as defined within the widely adopted RE-AIM framework. In the online communication context, user engagement is an...
DNA repair refers to a collection of processes by which a cell identifies and corrects damage to DNA molecules that encodes its genome. In this study, we examined evolution of O6-Methylguanine DNA alkyltransferase (MGMT), Xeroderma pigmentosum group D (XPD) protein, G/T mismatch-specific DNA glycosylases, MutS DNA repair proteins of Escherichia coli, Pyrococcus kodakaraensis, Saccharomyces cerevisae...
With the advancement in mobile technology, there are lots of prospect for the health domain. Specifically, the accessibility of the electronic health record (EHR) can be extended to the mobile node to promote remote healthcare delivery; this is known as mobile Health or mHealth. However, supporting real-time access and services synchronization in highly distributed mobile environments can be challenging...
Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes inflammation of the joints and may cause inflammation of other tissues in the body. It is mainly caused by combination of factors including abnormal autoimmune response, genetic susceptibility and some environmental or biological triggers. A number of pathways have been shown to be affected wherein numerous molecules are known to...
Protein–protein interaction creates a complex relation among molecular organs. The pivotal functionalities among cells depend on these interactions. In the light of computational biology (CB), it is possible to retrieve the exact information regarding these relationships. The global alignments among proteins are more important. Toward the development of the PPI network analysis, various methods such...
ESX-1 is an X-linked gene, which encodes for a homeobox protein. The ESX-1 expressed specifically in extra-embryonic tissues during development and in the adult testis as well. In the present study, we have predicted the three-dimensional structure of ESX-1 homeobox protein of Bubalus bubalis using homology modeling. The predicted model further explored for identification of ligand binding sites,...
Optometry is an essential health care profession that has existed for many centuries and is still evolving. However, the training approaches for optometrists are not yet on par with the latest technological evolution. The traditional supervisor–student training mode could not provide good immersion and repeatability, while most existing vision-based computer-assisted simulations provide even worse...
Modern mass spectrometers can produce large numbers of peptide spectra from complex biological samples in a short time. A substantial amount of redundancy is observed in these data sets from peptides that may get selected multiple times in liquid chromatography tandem mass spectrometry experiments. A large number of spectra do not get mapped to specific peptide sequences due to low signal-to-noise...
Hemophilia is a group of inherited disorders where a defect or absence of a clotting factor protein limits the ability of the blood to clot following injury. The most common form is Hemophilia A; it is classified as severe, moderate or mild. Those with severe and moderate Hemophilia are likely to experience bleeding into joints and muscles following minor injury and are advised to limit participation...
This paper presents an application of data mining in healthcare and discusses how the generated patterns can be used by physicians for early detection and hence prevention of oral cancer. One of the popular association rule mining algorithms, Apriori is used to extract a set of significant rules from the data pertaining to clinical examination, history, and survivability of the cancer patients. These...
Various feature selection techniques have been proposed in the field of machine learning. The filter approaches are typically faster while wrapper approaches are more reliable though computationally expensive. Feature selection techniques often strive to achieve performance similar to wrapper approaches employing various computational approaches. Feature selection techniques typically depend on ways...
Single Nuclear Polymorphisms (SNPs) are the majority of genetic variations occurring in a genome and help in understanding the genetics behind many complex diseases. By knowing the function of SNPs, the human phenotypic variations can be well known. Identification of functional SNPs in a disease-related gene is still a challenge. In this work, using computational methods, we have analyzed the genetic...
In this paper, we describe an integrated framework which incorporates data mining and statistical methods leading to the development of a visualization tool to facilitate users in understanding and exploring health indicator data. Due to the increasing cost of providing health care and decreasing participation in physical activities, motivating individuals to self-monitor themselves and according...
Bioinformatics has become intrinsic to modern genomics research. All genomics studies, viz., structural, functional and comparative genomics research, integrate bioinformatics with experimental components. Current bioinformatics facilities and computational capabilities will enable the generation of hypotheses and stimulate the annotation and functional discoveries for new gene and genomes. The resulting...
Binding of Major histocompatibility complex (MHC) peptide is a prerequisite for T cell activation in the immune system. MHC-binding peptides have shown promising results for immunodiagnostics and immunotherapeutic purposes. HLA-B*2705 is found to be associated with the development of variety of autoimmune diseases including Ankylosing spondylitis. Detecting MHC class I allele HLA-B*2705 binding peptides...
Non-small cell lung cancer today has several reported testimonies of aberrant promoter hypermethylation of tumor suppressing genes. In this study, a group of five genes (CDKN2A, APC, MGMT, DAPK and RASSF1) have been evaluated, using epigenetic tools and techniques to investigate their frequency of hypermethylation, prediction of CpG islands and expected primers along with their phylogenetic relationships...
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