conclusions our results revealed the possible crucial genes and mirnas involved in the initiation and progression of hcc cells infected with hcv. results based on the topological analysis of mirna-hubgene network, we identified the key hub mirnas. in order to identify the most important common sub-network, we aligned two ppi networks using netal tool. the c-jun gene was identified as the most i...

Non-steroidal anti-inflammatory drugs (NSAIDs) identified effective in many diseases. One of which is neurodegenerative diseases including Alzheimer disease (AD). In this study gross alteration of gene expression in AD mice by ibuprofen treatment is investigated via Protein-protein interaction network (PPI) analysis. Expression profiling of microarray dataset GSE67306 was retrieved from GEO dat...

Non-steroidal anti-inflammatory drugs (NSAIDs) identified effective in many diseases. One of which is neurodegenerative diseases including Alzheimer disease (AD). In this study gross alteration of gene expression in AD mice by ibuprofen treatment is investigated via Protein-protein interaction network (PPI) analysis. Expression profiling of microarray dataset GSE67306 was retrieved from GEO dat...

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 ...

Recent technologies give us comprehensive protein-protein interactions (PPI). Most of the PPI network analysis methods focus on local interaction structures [1, 2]. In this study, to understand the global regulation of cellular functions within the PPI network, we introduce the summarization method of the large PPI network under the restriction of both network relationships and homogeneity of k...

Prediction of protein-protein interaction (PPI) remains a central task in systems biology. With more PPIs identified, forming PPI networks, it has become feasible and also imperative to study PPIs at the network level, such as evolutionary analysis of the networks, for better understanding of PPI networks and for more accurate prediction of pairwise PPIs by leveraging the information gained at ...