background: numerous studies used microarray gene expression data to extract metastasis-driving gene signatures for the prediction of breast cancer relapse. however, the accuracy and generality of the previously introduced biomarkers are not acceptable for reliable usage in independent datasets. this inadequacy is attributed to ignoring gene interactions by simple feature selection methods, due...

Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...

aim: this study is aimed to elicit the possible correlation between breast and colon cancer from molecular prospectiveby analyzing and comparing pathway-based biomarkers.background: breast and colon cancer are known to be frequent causes of morbidity and mortality in men and womenaround the world. there is some evidence that while the incident of breast cancer in young women is high, it is repo...

acriflavine (3,6-diaminoacridine) is an anticeptic drug developed in 1912. previous research has focused on investigation of the intercalating features of acriflavine, but little is known about its interaction with proteins. drug-receptor interaction is of major interest in clinical science. the aim of the present study was to evaluate the ability of acriflavine to induce alterations in conform...

ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...

we have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. this network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 the physical interaction of proteins which lead to compiling them into large densely connected networks is a noticeable subject to investigation. protein interaction networks are useful because of making basic scientific abstraction and improving biological and biomedical applications. based on principle roles of proteins ...

background: fragile histidine triad protein (fhit), as a known tumor suppressor protein, has been proposed to play crucial role in inhibiting p53 degradation by mdm2. studies have confirmed fhit interaction with p53 or mdm2, although functional interacting domains of fhit with mdm2 and/or p53 are not completely defined. thus, through determining the significant structural interacting domains of...

interaction of drugs with serum albumin, the most abundant protein in plasma, has a great significance in pharmaceutical sciences. it can affect the biological activity, toxicity, and pharmacokinetics of drugs and design of dosages. determination of the impact of chemical modifications of albumin and its structural changes upon interaction with drugs are very important when drugs bind with albu...