Given the prominent role of p53 in different cancers, multiple groups have discovered different compounds that restore function of mutant p53.
To understand these results, it should be noted that this dataset may contain active compounds for multiple different molecular targets and, moreover, the heterogeneity of actives may be further increased due to the fact that the activity of compounds is measured by assays in living cell systems, where metabolism and uptake become important factor.
Obviously the change of reference region can affect the results, but as a final agreement is lacking, this is up to the authors to rely on the affinity of the different compounds for multiple reference regions.
Steady-state binding analysis was performed with multiple injections of different compound concentrations over the immobilized DNA surface at a flow rate of 25 μL/min and 25 °C.
Also, it should be noticed that, the bioactivity of different compounds rely on multiple factors such as side-chain composition, functional group, substituent and chirality.
However, many elements display multiple valences, or tendencies to share differing numbers of electrons in different compounds.
Studies that assess multiple exposures improve our understanding of how different compounds may act synergistically to cause greater damage than would be incurred by a single exposure.
Lastly, the results of statistical analyses of the different compounds were not adjusted for multiple testing.
Furthermore, behavioural testing across multiple different supercolonies reveals that the reaction to individual compounds varies from colony to colony -- the expected reaction to true colony recognition labels.
Spatial compounding refers to composite images created by insonations from transmitted pulses at multiple different angles to the probe surface (Fig. 1) whilst frequency compounding generates images based on a range of frequencies across the probe bandwidth [4].
