abstract ethanol has a vast consumption around the world. many researches confirmed some adverse effect of this component on human health. in addition, recent studies showed significant alteration in both cellular population, and protein profile of human foreskin fibroblast cell line (hfff2) in the specific dosage of ethanol. here, the role and interaction of some proteins (characterized by sig...

Protein-protein interaction (PPIs) is an important part of many life activities in organisms, and the prediction protein-protein interactions closely related to protein function, disease occurrence, treatment. In order optimize performance interactions, here a RT-MOS model was constructed based on Random Forest (RF) Matrix Sequence (MOS) predict interactions. Firstly, MOS used encode sequences ...

The study of protein-protein interactions (PPIs) and predicting the protein structure plays a critical role in understanding cellular processes designing therapeutic interventions. In this research, we explore application quantum algorithms, specifically Grover’s algorithm, improving accuracy efficiency PPI prediction. By harnessing inherent parallelism search capabilities aim to enhance identi...

background alcoholic hepatitis (ah) is an acute manifestation of alcoholic liver disease with high mortality rates. objectives our aim was to study the molecular mechanisms of ah. materials and methods the differentially expressed genes (degs) in liver between ah and control cases were identified by analyzing the gse28619 microarray data using t-test. the kyoto encyclopedia of genes and genomes...

Due to our interest in the chemical space of organic dyes identify potential small-molecule inhibitors (SMIs) for protein-protein interactions (PPIs), we initiated a screen such compounds assess their inhibitory activity against interaction between SARS-CoV-2 spike protein and its cognate receptor ACE2, which is first critical step initiating viral attachment entry this coronavirus responsible ...

Characterization of protein–protein interactions (PPIs) is essential for understanding cellular signal transduction pathways. However, quantitative measurement the binding strength remains challenging. Building upon classical bacterial adenylate cyclase two-hybrid (BACTH) system, we previously demonstrated that relative reporter protein expression (RRPE), defined as level normalized to interact...

Chemical cross-linking (CX) of proteins in vivo or cell free extracts followed by mass spectrometric (MS) identification linked peptide pairs (CXMS) can reveal protein-protein interactions (PPIs) both at a proteome wide scale and the level cross-linked amino acid residues. However, error estimation PPI remains challenging large datasets. Here we discuss recent advances recognition spurious inte...

We have developed a method that predicts Protein-Protein Interactions (PPIs) based on the similarity of the context in which proteins appear in literature. This method outperforms previously developed PPI prediction algorithms that rely on the conjunction of two protein names in MEDLINE abstracts. We show significant increases in coverage (76% versus 32%) and sensitivity (66% versus 41% at a sp...

Recently, protein-protein interaction prediction (PPIP) has been emerging as an appealing question. Although several in silico approaches have been developed to delineate the potential protein-protein interaction (PPI), there are few online tools of human PPIP for further experimental design. Here we present an online service, hsPPIP (Protein-Protein Interaction Predicting of Homo Sapiens), to ...

Protein-protein interactions (PPI) are involved in a myriad of cellular processes, and their deregulation can lead to many diseases. One such process is protein ubiquitination that requires an orchestrated action three key enzymes add ubiquitin moieties substrate proteins. Importantly, this reversible through deubiquitinating enzymes. Both deubiquitination require PPIs once classified be utiliz...