Sentence examples for interactions to measure from inspiring English sources

These biomolecular interactions can be used to identify the binding of two or more interactants to each other to determine the affinity of the interactions, to measure the actual association and dissociation rates of the interaction, and for the purpose of PSP toxin detection can be exploited to quantify the concentration of one of the interactants (Karlsson 2004).

Recently, proteomic technologies have created new possibilities in the discovery of novel drug targets and have been applied to study numerous protein interactions, to measure binding affinities, specificities, and levels of protein expression in various preparations, and in the investigation of various disorders (2- 6).

In the context of academic social networks, we identified problems with using solely a modification in neighborhood overlap and absolute frequency of interaction to measure the strength of co-authorship ties.

A standard test to validate Siglec-mediated interactions is to measure their susceptibility to sialidase treatment (Crocker et al., 2007).

A sensitive way to detect these early interactions is to measure the effect that a cognitive load (e.g. simultaneous talking or counting while walking) has on gait.

For each pathway pair identified, we calculated the completeness scores d1, d2, d12 as defined in Equation (1) using the physical interaction data to measure the enrichment of physical interactions within pathway 1, within pathway 2, and between pathway 1 and pathway 2, respectively.

Isothermal titration calorimetry was then employed to demonstrate a direct in vitro protein-protein interaction and to measure the affinity of GDP or GPPNHP loaded H-Ras for RGS14 RBD1.RBD2).

In this modified version, participants went through an additional phase of interaction, designed to measure performance without further learning, in which no feedback on individual decisions was given.

DawnRank uses gene gene interaction networks to measure the impact of genomic alterations on the differential gene expression of downstream genes in the network.

To examine the spatial features for E. coli genome organization quantitatively, the C value was defined based on the DNA interaction frequency to measure the organizational compactness of the 3D genome at two levels: the compactness of regulons in terms of the interaction between operon pairs, and the compactness of biological pathways in terms of the interaction between gene pairs.

Molecular events such as changes in phosphorylation and protein protein interactions, are difficult to measure in the intact animal and patient.