Sentence examples for interactions very well from inspiring English sources

Riley and colleagues [ 8] found that previous probabilistic models cannot detect specific interactions very well.

Since interacting proteins need to be present at the same time and place to physically contact each other, their expression as measured at the mRNA level by microarrays does not predict protein protein interactions very well.

Despite these limitations, we are confident that the reconstructed interaction networks reflect essential features of cortical organization: The strength of the identified interactions corresponds very well with the known layout of anatomical connectivity across cells with different orientation preferences and cortical distances.

These species-specific pathogen host interactions correlate very well with the host specificity of S. pneumoniae.

Since protein-protein interactions are very well studied as compared to those of ncRNAs, by analyzing both protein-coding and ncRNAs together, the most robust networks resulting from this analysis would only contain protein-protein interactions, essentially losing the weaker, less-studied ncRNA interactions.

All of these indicate that the coefficient c 3 reflects the coupling and interaction effect very well.

The proposed model reproduces the main properties of protein-protein interaction networks very well.

At the molecular level, the interaction is very well characterised both by mutagenesis and crystallography, involving a small and largely hydrophobic binding area.

Since the prior knowledge on the optimal α and the true number of disease SNPs is unknown, their methods can hardly address the two critical challenges (small sample sizes and high dimensionality) in epistatic interaction detection very well.

The observed distribution of translational positions may therefore be influenced by both the inherent step size of the enzyme ISWI and the underlying DNA nucleosome interactions and could very well be much larger than the individual movements of ISWI along the DNA and/or the size of potential DNA loops and/or bulges associated with repositioning.

Even though changes in the expression profiles or a high mutation rates are not sufficient to verify that the protein is disease-related or therapeutically important (53, 54), it is possible that the discovery of protein protein interactions networks could very well lead to possible drug targets among the dataset of pancreatic cancer-related proteins.