Protein-protein interaction (PPI) prediction method has provided an opportunity for elucidating potential biological processes and disease mechanisms. We integrated eight features involving proteomic, genomic, phenotype and functional annotation datasets by a mixed model consisting of full connected Bayesian (FCB) model and naive Bayesian model to predict human PPIs, resulting in 40 447 PPIs wh...

objective(s): first, 10-bromodecanoic acid was covalently attached to all available surface primary amines of ppi g2 and g3 to increase their lipophilicity. in the subsequent step, ppis were conjugated to the alkylcarboxylate groups of alkylcarboxylate-ppi derivatives to increase the number of surface primary amines. physicochemical properties of modified ppis were determined. transfection expe...

aim : evaluation of biological characteristics of 13 identified proteins of patients with cirrhotic liver disease is the main aim of this research.   background : in clinical usage, liver biopsy remains the gold standard for diagnosis of hepatic fibrosis. evaluation and confirmation of liver fibrosis stages and severity of chronic diseases require a precise and noninvasive biomarkers. since the...

UNLABELLED Membrane proteins are essential for cell viability and are therefore important therapeutic targets(1-3). Since they function in complexes(4), methods to identify and characterize their interactions are necessary(5). To this end, we developed the Membrane Strep-protein interaction experiment, called Membrane-SPINE(6). This technique combines in vivo cross-linking using the reversible ...

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...

Genome-wide network analysis is well implemented to study proteins of unknown function. Here, we effectively explored protein functions and the biological mechanism based on inferred high confident protein-protein interaction (PPI) network in cyanobacteria. We integrated data from seven different sources and predicted 1,997 PPIs, which were evaluated by experiments in molecular mechanism, text ...

Protein–protein interactions (PPIs) are implicated in almost all biological processes for any given protein engaged in complexes with other proteins for themajority of its lifetime. In this regard, proteins function not merely as single, isolated entities, but display their roles by interacting with other cellular components. The different interaction patterns are at least as important as the i...

Identification of protein-protein interactions (PPIs) is a difficult and important problem in biology. Since experimental methods for predicting PPIs are both expensive and time-consuming, many computational methods have been developed to predict PPIs and interaction networks, which can be used to complement experimental approaches. However, these methods have limitations to overcome. They need...

In biomedical texts, contradictions about proteinprotein interactions (PPIs) occur when an author reports observing a given PPI whereas another author argues that very same interaction does not take place: e.g., when author X argues that “protein A interacts with protein B” whereas author Y claims that “protein A does not interact with B”. Of course, merely discovering a potential contradiction...

Whole genome duplication (WGD) has made a significant contribution to many eukaryotic genomes including yeast, plants, and vertebrates. Following WGD, some ohnologs (WGD paralogs) remain in the genome arranged in blocks of conserved gene order and content (paralogons). However, the most common outcome is loss of one of the ohnolog pair. It is unclear what factors, if any, govern gene loss from ...