Sentence examples for clusters of interaction from inspiring English sources

To select one potential complex out of five structures, we utilized an additional phylogenetic approach based on maximum likelihood analysis to highlight clusters of interaction "hot spots" on both DDX3X and CRM-1 surface.

Particularly in Figure 3(a), three clusters of interaction motifs are found.

The primary findings are: (i) some configurations that appeared to be uncoupled by linear spectral analysis metrics were actually found to be nonlinearly coupled, and (ii) two types of nonlinear coupling were observed one dominated by the fundamental and its interaction with higher modes, and another that displayed clusters of interactions between a frequency component and its sidebands.

We define two clusters of interactions; the first being characterised by two proteins with a shared domain which is not sufficient for maintaining the interaction.

One of the earliest network alignment algorithms, NetworkBlast (Sharan and Ideker, 2006) defines the network alignment graph by identifying sequence similar proteins from several species and carries out a search over this graph for dense clusters of interactions.

More recently, CDD site annotation is used to verify and rank clusters of interactions observed in 3D structures as presented by the Inferred Biomolecular Interactions Server (IBIS) resource (6), where such clusters can be used to infer interactions for proteins sequence similar to those with known 3D structure.

Furthermore, the clustering of interaction profiles demonstrates protein-compound interactions can be separated into four Homopharma groups.

At the center of the network, a tight cluster of interaction between hydrolase, ATPase and transmembrane transport activity is depicted.

Specifically, our data suggest that high values of nestedness, connectivity and clustering of interactions with mutualistic pollinators are beneficial to individual plants coexisting in local populations.

Active chromatin hubs (ACH) refer to the clustering of interactions between promoters and regulatory elements involved in the regulation of many tissue-specific genes [53].

The algorithm based on link communities performs a hierarchical clustering of interactions and considers a module to be a set of closely interrelated interactions.