MOTIVATION A number of computational methods have been proposed that predict protein-protein interactions (PPIs) based on protein sequence features. Since the number of potential non-interacting protein pairs (negative PPIs) is very high both in absolute terms and in comparison to that of interacting protein pairs (positive PPIs), computational prediction methods rely upon subsets of negative P...

The spectacular heterogeneity of a complex protein mixture from biological samples becomes even more difficult to tackle when one's attention is shifted towards different protein complex topologies, transient interactions, or localization of PPIs. Meticulous protein-by-protein affinity pull-downs and yeast-two-hybrid screens are the two approaches currently used to decipher proteome-wide intera...

Background: Crohn's disease (CD) is a type of inflammatory bowel disease (IBD) which despite the unknown details is generally related to genetic, immune system, and environmental factors. In this study, we identify transcriptional signatures in patients with CD and then explain the potential molecular mechanisms in inflamed and non-inflamed intestinal mucosa in these patients. Materials and Me...

An open question in human genetics is what underlies the tissue-specific manifestation of hereditary diseases, which are caused by genomic aberrations that are present in cells across the human body. Here we analyzed this phenomenon for over 300 hereditary diseases by using comparative network analysis. We created an extensive resource of protein expression and interactions in 16 main human tis...

DifferentialNet is a novel database that provides users with differential interactome analysis of human tissues (http://netbio.bgu.ac.il/diffnet/). Users query DifferentialNet by protein, and retrieve its differential protein-protein interactions (PPIs) per tissue via an interactive graphical interface. To compute differential PPIs, we integrated available data of experimentally detected PPIs w...

Protein-protein interactions (PPIs) play various important roles in living organisms. Hence, many efforts have been made to investigate and predict PPIs. Analysis of strengths of PPIs is important as well as PPIs because such strengths are involved in functionality of proteins. In this paper, we propose several feature space mappings from protein pairs, which make use of protein domain informat...

[Formula: see text] Fundamental processes in living cells are largely controlled by macromolecular interactions and among them, protein-protein interactions (PPIs) have a critical role while their dysregulations can contribute to the pathogenesis of numerous diseases. Although PPIs were considered as attractive pharmaceutical targets already some years ago, they have been thus far largely unexp...

Understanding protein–protein interactions (PPIs) is fundamental to describe and characterize the formation of biomolecular assemblies, establish energetic principles underlying biological networks. One key aspect these interfaces existence prevalence hot-spots (HS) residues that, upon mutation alanine, negatively impact such complexes. HS have been widely considered in research, both case stud...

Proteins are some of the building blocks of organisms. They usually perform their functions by interacting with each other and forming protein complexes. A protein-protein interaction network is a graph that consists of proteins as vertices and their interactions as edges. Protein-protein interaction network alignment is very important in identifying protein complexes and predicting protein fun...

Present screening methods for protein-protein interactions (PPIs) rely on the overexpression of artificial fusion proteins, making it difficult to assess in vivo relevance. Here we combine stable isotope labeling with amino acids in cell culture (SILAC), RNA interference (RNAi), coimmunoprecipitation and quantitative mass-spectrometry analysis to detect cellular interaction partners of endogeno...