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...

human serum albumin (hsa) is an important protein that carries variety of substances like some hormones and drugs in blood. pharmacological studies of the interaction of many drugs and hsa are reported during several decades, specially recently years. interaction of cortisol and fluoxetine hydrochloride (flx) (as a common anti-stress drug) with hsa (as their carrier in blood) has been studied s...

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...

Thermal conformational changes in human serum albumin (HSA) in present with a 10 mM phosphate buffer, at pH=7 have been investigated via circular dichroism (CD) and UV spectroscopic methods. The results indicate that temperature in a range of 25oC to 55oC could induce a reversible conformational change in the structure of HSA. The HSA phase transition corresponds to the physiological and patho...

Objectives: The bioactive phytocompounds present in Zingiber officinale were assessed for their tumor-suppressing activity against TP-53 BP1 linked to hepatocellular carcinoma. Methods: study investigates the interaction of phytochemicals from Ginger (Zingiber officinale) with tumor protein TP53. Drug likeness chosen ligand was evaluated using SWISS ADME. Autodock tools used investigate interac...

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...

Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interaction while myriad unknown interactions to be predicted. To meet this challenge, a manifold regularization semi-supervised learning method is presented to tackle this issue by using label...