نتایج جستجو برای: protein interaction network could reveal
تعداد نتایج: 3036235 فیلتر نتایج به سال:
Introduction: Obsessive-Compulsive Disorder (OCD) is a disabling mental condition that its proteomic profiling is not yet investigated. Proteomics is a valuable tool to discover biomarker approaches. It can be helpful to detect protein expression changes in complex disorders such as OCD. Methods: Here, by the application of 2D gel electrophoresis (2DE), a pilot study of serum proteome profile ...
in the near future, design of a new generation of drugs targeting proteins will be required. considering the complex bond between the drug and protein, the structure and stability of the target protein should be considered. so far, a series of in vitro investigations have been conducted with the aim of predicting drug-biological medium interactions. in these studies, use of spectroscopic method...
conclusions the growth rate of information in bioinformatics databases could facilitate studies of live organisms prior to observation studies. two different protein classes could be causative agents of one disease. however, two related diseases from one disease group could consist of different protein classes. future research in the field of proteomics could allow modern insight to reshuffling...
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...
High-throughput screens have begun to reveal the protein interaction network that underpins most cellular functions in the yeast Saccharomyces cerevisiae. How the organization of this network affects the evolution of the proteins that compose it is a fundamental question in molecular evolution. We show that the connectivity of well-conserved proteins in the network is negatively correlated with...
We study the correlation between codon usage bias of genetic sequences and network features protein-protein interaction (PPI) in bacterial species. use PCA techniques space indices to show that genes with similar patterns have a significantly higher probability their encoded proteins are functionally connected interacting. Importantly, this signal emerges when multiple aspects taken into accoun...
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