نتایج جستجو برای: protein protein interaction network analysis

تعداد نتایج: 4665176  

Journal: :iranian journal of pharmaceutical sciences 0
zahra rezaei faculty of pharmacy, pharmaceutical research center, shiraz university of medical sciences, shiraz, iran soghra khabnadideh faculty of pharmacy, pharmaceutical research center, shiraz university of medical sciences, shiraz, iran elham afiatjou faculty of pharmacy, pharmaceutical research center, shiraz university of medical sciences, shiraz, iran

the binding of drugs by plasma proteins is an important phenomenon, because it influences the size of the free fraction of the drugs in plasma. in this study the influence of dipyridamole (dp) on the protein binding of propranolol (pl) and pl on the protein binding of dp were studied alone and in the presence of nicotine (nc).        the equilibrium dialysis was employed for protein binding stu...

Journal: :iranian journal of pharmaceutical research 0
mona zamanian azodi proteomics research center mostafa rezaei-tavirani proteomics research center,shahid beheshti university of medical sciences sara rahmati-rad department of cell and molecular biology, faculty of science, university of tehran, tehran, iran majid rezaei-tavirani faculty of medicine, ilam university of medical sciences, ilam, iran

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...

Journal: :journal of medical signals and sensors 0
mohammadreza sehhati alireza mehri dehnavi hossein rabbani shaghayegh haghjoo javanmard

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...

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