Sentence examples for interaction data with from inspiring English sources

It is anticipated that the hub classifier can serve as a useful tool to identify highly-interacting proteins in species without any available protein interaction data, with potential applications in optimizing protein pull-down experiments and identifying new drug targets against pathogens.

This demonstration is a proof-of-concept prototype of a typical design and development of a domain-specific query and analysis application on the users' interaction data with immersive environments.

We combined all the vaccinia plus human interaction data with peptide counts for each protein and visualized the results using Cytoscape [28], [29].

Combining genetic and physical interaction data with biochemical data has been shown to be an effective means of evaluating and assigning biological relevance to observed phosphorylation.

Moreover, by combining interaction data with protein sequences it has been observed that orthologous transcription factors and their target genes share the same regulation provided that the protein sequences of the regulators are sufficiently conserved [18].

The protein-protein interaction analyses performed in the current study is in silico, however the identified interactions are based on documented interaction data with references in the literature, weighted towards physical interactions and should be useful for guiding future biological experiments [22].

Annotating the pathway interactions data with such database IDs may also help the database users to collate the reaction information with less effort and time.

After integrating the TF-DNA interactions data with 1,513 genes (see Methods section), a total of 5 paths were clearly diverging for these genes (Additional file 6, Figure S4 (I)).

Recent studies [1] have demonstrated that machine learning-based approaches have the potential to predict compound-protein interactions on a large scale by learning from limited interaction data supplemented with information on the similarity among compounds and among proteins.

A data fragmentation situation similar to the current diversity of interaction data arose with genomic data several years ago.

Comparisons were also performed using protein-protein interaction data obtained with high-throughput analysis of Helicobacter pylori proteins.