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An important task of aging research is to find genes that regulate lifespan. Wet-lab identification of aging genes is tedious and labor-intensive activity. Developing an algorithm to predict aging genes will be greatly helpful. In this paper, we systematically analyzed topological features of proteins encoded by Drosophila melanogaster aging genes versus those encoded by non-aging genes in protein-protein...
Medical ontologies are valuable and effective methods of representing medical knowledge. In this direction, they are much stronger than biomedical vocabularies. In the process of medical diagnosis, each disease has several symptoms associated with it. There are currently no ontologies that relate diseases and symptoms and only attempts at their infancy along with some simple proposed models. However,...
In this paper, we propose a general framework to evaluate models of systems that are ill defined, incompletely known, and furthermore, which cannot be experimented in real conditions, such as the economical systems at the country scale, epidemics (for obvious ethical reasons) or any natural disasters, for instance where human lives are the main issue. Our framework relies on the generic Marvin Minsky's...
Ontology has become a very vital issue to solve important issues regarding human diseases through data integration of chemical and biological data. Mining such data discovers highly important knowledge about diseases can give an important insight to arrive to new drug targets and assist in personalized medicine. In the current paper, a mining technique for diseases is developed based on integrated...
Relative risk estimation is one of the most important issues in the study of geographical distributions of disease occurrence or disease mapping. For the case of dengue, there are only a few studies that use statistical methods to estimate the relative risk for disease mapping. Therefore this research will introduce an alternative method to estimate the relative risk of dengue occurrence based initially...
Venous refilling time (VRT) can diagnose the presence of venous system diseases. In order to calculate the VRT it is necessary to determine the End of the Empting Maneuvers (EEM). The automation of this process has been identified as a difficult task. Some methods described previously have some difficulties that could be solved. This paper proposes a new method for the automatic detection of the EEM...
Breakthroughs in technology that deliver fast and accurate molecular biology data, together with the use of advanced software, and analytical methods made possible quantitative accumulation of biological information leading to a qualitative evolution. Sequencing of human genome was of the first door to the era of systemic understanding in life sciences. The paper reviews the emerging concepts of systems...
In this work, we focus on the issue of diffusion in dynamic networks. We begin by proposing a generic framework that merges two essential aspects of the problem: diffusion and network dynamics. Then, our framework is used for comparing effects of two aspects of the human behavior, sociability and network dynamics. On the one hand the dynamics of the network is related to the movements of individuals...
This report showed some physico-chemical properties and structural features about UL41 protein predicted by some software and on-line tools. The analysis showed both the signal peptide and the trans membrance region are not found. Meanwhile, the protein has twenty-four potential phosphorylation sites. In addition, the protein has more hydrophilic amine acid districts than hydrophobic districts and...
Diabetic kidney disease is a significant complication of type 2 diabetes mellitus and has a significant impact on quality of life and patient survival, both due to progression towards endstage kidney disease and associated atherosclerosis. Identification of the risk factors, especially in incipient kidney disease, is an important focus of research. The aim of our study was to rank the risk factors...
The Duck Plague Virus (DPV) is the causative agent of Duck plague, which causes significant economic losses in the commercial duck industry all over the world. Our laboratory had identified and sequenced the DPV UL41 gene. Bioinformatics analysis of DPV UL41 gene were performed by some software and online tools. The results showed that GC content of duck plague virus UL41 gene was 42.42%, which encoded...
A very large number of serious human and animal diseases such as AIDS, SARS, common cold, human and avian influenza, chickenpox, and several others are caused by viral infections. The infectious agents of these diseases are virus nanoparticles (virions) that contain DNA/RNA strands encased in a capsid protein coat and in some cases also in an outer lipid envelope. The virions are usually transmitted...
In humans, motion information is mainly processed by the dorsal visual stream. This stream consists of two functional streams: the ventro-dorsal (v-d) and dorso-dorsal (d-d) streams. Patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) exhibit an impairment in motion perception. By using visual event-related potentials (ERPs), we have previously demonstrated that v-d function...
MicroRNAs are short regulatory RNAs which play a major role in regulating gene expression. In this study, we employed bioinformatics techniques to predict microRNA target sites for interleukin-17 family. We aimed at identifying the pattern of microRNA regulatory mechanism on interleukin-17 family. This study provides insight into the expression pattern of interleukin-17 family in controlling immunopathologic...
An important task of aging research is to find genes that regulate lifespan. Wet-lab identification of aging genes is a tedious and labor-intensive activity. Developing an algorithm to predict aging genes for guiding wet-lab experiment should be greatly helpful. In this paper, we systematically analyzed topological features of proteins encoded by Mus musculus aging genes versus those encoded by non-aging...
The ability to measure human movement accurately forms an essential part of a clinical assessment, thus allowing the efficacy of therapeutic interventions to be determined. The most commonly used clinical method for assessing human movement is goniometry, motion capture system, Electromagnetic tracking systems and so on. There are some essential limitations in each method. Inertial sensors such as...
Skin infections still remain common in many rural communities in developing countries, with serious economic and social consequences as well as health implications. Directly or indirectly, skin infections are responsible for much disability (and loss of economic potential), disfigurement, and distress due to symptoms such as itching or pain. In this research, we built a Skin Infection Expert System...
ECG analysis is universal and important in miscellaneous medical applications. However, high computation complexity is a problem which has been shown in several levels of conventional data mining algorithms for ECG analysis. In this paper, we presented a novel manifold approach to visualize and analyze the ECG signal. According to regularity of the data, our algorithm can discover the intrinsic structure...
Eggs from the small, intestinal pig whipworm Trichuris suis constitute the active pharmaceutical ingredient in a novel type of medicine for chronic autoimmune diseases like Crohn's disease. The pharmaceutical potency of such an egg suspension can be assessed by microscopic inspection, as only eggs containing a viable, infective larva provoke the wanted immune reaction. Thus, a precise and objective...
We proposed a human-centered cyber-physical systematic approach for post-stroke monitoring. This system is composed of wearable inertial and physiological sensors as well as novel machine learning algorithms to analyze human behavior and physiological signals in the context of health caring for patients with cerebrovascular diseases such as stroke.
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