objective(s): mutant forms fms-like tyrosine kinase-3 (flt3), are reported in 25% of childhood acute lymphoid leukemia (all) and 30% of acute myeloid leukemia (aml) patients. in this study, drug response, growth promoting, and protein trafficking of flt3 wild-type was compared with two active mutants (internal tandem duplication (itd)) and d835y. materials and methods:flt3 was expressed on fact...

aim : evaluation of biological characteristics of 13 identified proteins of patients with cirrhotic liver disease is the main aim of this research.   background : in clinical usage, liver biopsy remains the gold standard for diagnosis of hepatic fibrosis. evaluation and confirmation of liver fibrosis stages and severity of chronic diseases require a precise and noninvasive biomarkers. since the...

Cytochrome P450 (P450, CYP), a major class of enzymes involved in Phase I drug metabolism, is expressed in the cellular endoplasmic reticulum together with other enzymes, such as microsomal epoxide hydrolase (mEH) and UDP-glucuronosyltransferase (UGT). In many cases, the metabolite produced by P450 is sequentially metabolized by other enzymes to increase its water solubility. It would be reason...

1. Background Protein-protein interaction networks Proteins are linear chain biomolecules that are the basis of functional networks in all organisms. They include classes that regulate other proteins (e.g. kinases), classes that regulate gene expression (e.g. transcription factors), and classes that control response to disease (e.g. immunoglobulins). Aspects of their social networks have been e...

The identification and validation of drug targets are crucial in biomedical research and many studies have been conducted on analyzing drug target features for getting a better understanding on principles of their mechanisms. But most of them are based on either strong biological hypotheses or the chemical and physical properties of those targets separately. In this paper, we investigated three...

As drug development is extremely expensive, the identification of novel indications for in-market drugs is financially attractive. Multiple algorithms are used to support such drug repurposing, but highly reliable methods combining simulation of intracellular networks and machine learning are currently not available. We developed an algorithm that simulates drug effects on the flow of informati...

As pathogens evolve effective schemes to overcome the effect of antibiotics, the prevalent "one drug and one drug target" approach is falling behind. We propose novel strategies for identifying potential multiple-drug targets in pathogenic protein-protein interaction (PPI) networks with the goal of disrupting known pathways/complexes. Given a set S of pathogenic pathways/complexes, we first con...

abstract ethanol has a vast consumption around the world. many researches confirmed some adverse effect of this component on human health. in addition, recent studies showed significant alteration in both cellular population, and protein profile of human foreskin fibroblast cell line (hfff2) in the specific dosage of ethanol. here, the role and interaction of some proteins (characterized by sig...

Genomic profiles of cancer patients such as gene expression have become a major source to predict responses drugs in the era personalized medicine. As large-scale drug screening data with cell lines are available, number computational methods been developed for response prediction. However, few incorporate both and biological network, which can harbor essential information about underlying proc...