Protein–protein interaction networks are the networks of protein complexes formed by biochemical events and/or electrostatic forces and that serve a distinct biological function as a complex. The protein interactome describes the full repertoire of a biological system’s protein–protein interactions (PPI...
蛋白质-蛋白质相互作用(protein-protein interaction,PPI)是指两个或两个以上的蛋白质分子通过非共价键形成蛋白质复合体(protein complex)的过程。研究蛋白之间的相互作用网络,有助于挖掘核心的调控基因,目前已经有很多的蛋白质相互作用的数据库,在这里,...
There are a multitude of methods that have been proposed to detect protein-protein interactions and populate protein-protein interaction networks. In general, none of them is better than the others but each method has its own strengths and weaknesses. The goodness of a method is measured in ter...
We identified shared protein interaction networks among preterm cases in two statistically significant clusters,<0.001. We also found two small control-dominated clusters. We replicated these data on an independent, large birth cohort. Separation testing showed significant similarity scores between the ...
Perturbations to the protein﹑rotein interaction networks (PPIN) present in neurons, glia and other cell‐types has been linked to multifactorial neurological disorders. Yet while knowledge of brain PPINs is steadily improving, the complexity and dynamic nature of the heterogeneous central nervous ...
Differential analysis of the interactome may help elucidate molecular mechanisms during disease development; however, this analysis necessitates mapping of expression data on protein–protein interaction networks. These networks do not exist for the podocyte; therefore, we built PodNet, a literature-based...
protein–protein interactionAuthor(s): Gry H Dihazi 1 , Hassan Dihazi [[dagger]] 2 Keywords: apoptosis; functional clustering; network analysis; protein-protein interaction The standard proteomics experiment strategies are designed to compare proteomics signatures of cells in normal and anomalous ...
Explore advanced protein-protein interaction detection services, including Yeast Two-Hybrid, BLI, CO-IP, and GST pull-down, designed for qualitative and quantitative analysis.
根据数据类型,ppi预测方法分类为:genomic data, protein sequence, protein structure, PPI networks, gene expression, and annotations of gene function, localization, and process。基于genomic data数据分析conserved operon structure, fusion domains, phylogenetic profiles, and interologs。 很多研究基于蛋白质序列预...
Integrative approach for detection of functional modules from protein protein interaction networks 热度: Protein-Protein Docking:蛋白质-蛋白质对接 热度: Protein-proteininteraction networks FunctionalGenomics RolandKrause roland.krause@molgen.mpg.de 1