Sentence examples for low specific binding from inspiring English sources

There was a very low specific binding in cortical tissue homogenates of control brains.

Most of other tracers targeting nAChRs, e.g., 2-[18F]fluoro-A-85380 [18F]nifeneF]nifene [11] have the drawback of long acquisition times or a low specific binding.

For the purpose of describing the tracer kinetics, rather than estimating the absolute parameters for binding or uptake, a region with low specific binding is mathematically appropriate for deriving the reference input.

The Eu-DTPA-PEGO-MSH(4) probe exhibited low specific binding relative to non-specific binding, even at low nanomolar concentrations, and was deemed unsuitable for use in competition binding assays.

Within these windows, deposition voltage influenced non specific binding to electrodes with the lowest values observed using lower voltages (0.9 to 1.0 V) for a 5 s.

The PS group displayed results similar to those of low specific-binding regions.

In contrast, the 2TCM was markedly preferred and necessary for fitting low specific-binding regions, where a worse VT agreement (17.6% difference) and significant VT differences between the models (p < 0.005) were seen.

These values were slightly larger than the K i value of HMS011 in the rat brain (10 nM) in our previous assay [11], partly explaining the low specific radioligand binding in the current human PET study.

The cerebellum was chosen as a region with very low specific PIB binding for use as a reference region, and Logan graphical analyses were performed to calculate the mean cortical PIB distribution volume (Logan et al, 1996) for each participant.

Due to low specific antibody binding, pRBCs stained with the ITvar16 PfEMP1 antisera resulted in a shift in the pRBC population when compared to the negative control samples, rather than distinct antibody-positive and antibody-negative populations (Fig. S1).

However, the 2TCM-2C resulted in larger differences to 2TCM DVR–1 for cerebellum and medulla, which could be due to a combination between low amounts of specific binding and the larger number of model parameters, resulting in increased uncertainty in parameter estimation.