Protein-protein interactions (PPIs) play a vital role in initiating infection in a number of pathogens. Identifying which interactions allow a pathogen to infect its host can help us to understand methods of pathogenesis and provide potential targets for therapeutics. Public resources for studying host-pathogen systems, in particular PPIs, are scarce. To facilitate the study of host-pathogen PP...

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...

Comprehensive approaches to detect protein-protein interactions (PPIs) have been most successful in the yeast model system. Here we present "Cross-and-Capture," a novel assay for rapid, sensitive assessment of PPIs via pulldown of differently tagged yeast strain arrays. About 500 yeast genes that function in DNA replication, repair, and recombination and nuclear proteins of unknown function wer...

Membrane receptor-sensed input signals affect and modulate intracellular protein-protein interactions (PPIs). Consequent changes occur to the compositions of protein complexes, protein localization and intermolecular binding affinities. Alterations of compartmentalized PPIs emanating from certain deregulated kinases are implicated in the manifestation of diseases such as cancer. Here we describ...

acriflavine (3,6-diaminoacridine) is an anticeptic drug developed in 1912. previous research has focused on investigation of the intercalating features of acriflavine, but little is known about its interaction with proteins. drug-receptor interaction is of major interest in clinical science. the aim of the present study was to evaluate the ability of acriflavine to induce alterations in conform...

Characterizing the activating and inhibiting effect of protein-protein interactions (PPI) is fundamental to gain insight into the complex signaling system of a human cell. A plethora of methods has been suggested to infer PPI from data on a large scale, but none of them is able to characterize the effect of this interaction. Here, we present a novel computational development that employs mitoti...

we have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. this network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

Although molecular chaperones are essential components of protein homeostatic machinery, their mechanism of action and impact on adaptation and evolutionary dynamics remain controversial. Here we developed a physics-based ab initio multi-scale model of a living cell for population dynamics simulations to elucidate the effect of chaperones on adaptive evolution. The 6-loci genomes of model cells...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 the physical interaction of proteins which lead to compiling them into large densely connected networks is a noticeable subject to investigation. protein interaction networks are useful because of making basic scientific abstraction and improving biological and biomedical applications. based on principle roles of proteins ...

• A new pipeline for PPI network detection and 3D structure construction. Detecting 35,125 confident PPIs in E coli that is 4.5-fold higher than HTE alone. Confident quaternary model was constructed 6771 E. coli. Essential proteins have distinct networks from non-essential ones Genome-wide protein–protein interaction (PPI) determination remains a significant unsolved problem structural biology....