It should be noted that the 11 conformations sampled from the MD trajectory are all equivalent in the sense that there is no clear way to tell which conformation is the most appropriate for calculating the binding energy for a given peptide.
(The mesa type may be most appropriate for factors with multiple binding sites such as the CRP repressor in E. coli, where binding to an individual site is negligible in the off state).
The importance of this for function is currently an area of intense investigation, with suggested roles for dimerization/oligomerization including both providing the most appropriate footprint for G-protein binding and enhancing the effectiveness of signal transduction [ 3].
Therefore, the purpose of this study was to investigate which pharmacokinetic model is most appropriate for the quantification of [11C]flumazenil binding in pre-clinical rat studies.
Physiologically, the Logan-derived DV values are the most appropriate indicators of protein expression and/or receptor-ligand binding potential (Bmax/Kd) for ligands that bind reversibly.
As a regulatory SNP would necessarily alter DNA-binding properties, EMSA analysis was the most appropriate and simplest tool to measure this possibility.
Then, relative binding free energies were calculated to find the most appropriate molecule structure.
It is one of the most appropriate techniques to identify organic compounds presents in most several materials (e. g. binding media, varnishes, adhesives, etc).
Although the protocol employed is not the most appropriate to establish a possible H1RO plasma concentration relationship, a linear regression between plasma concentrations (AUC 0,2.5h)) vs. binding potential (mean from five ROIs) was calculated as the optimal approach.
Previous theoretical and empirical analysis of the relationship between w, the bleach spot radius;, the pseudo first-order binding rate constant; Df, the diffusion constant in the absence of binding; and koff, the unbinding (or dissociation) rate constant showed that, when and, reaction-dominant models are the most appropriate (Sprague et al., 2004).
