Exact(2)
In order to quantitatively confirm the results, we used image analysis software to determine the mean intensity of puncta at each compound concentration.
In addition to efforts to ensure accuracy in manual curation, every effort was also made to include studies that refute geroprotective effects to maintain objectivity and ensure a comprehensive look at each compound.
Similar(58)
For each drug, dose-curve responses were established in A549 (nonsmall cell lung carcinoma) cells to establish a screening concentration at which each compound manifests an IC25 (as indicated in Table 1).
The Ki values for the competing compounds denote the concentration at which each compound inhibited the incorporation of [C]oleate into cholesteryl [C]oleate by 50% in monolayers of CHO-7 cells that were incubated with 10% FCS (see Figure 2 ).
Inhibitory constant (Ki) values denote the concentration at which each compound inhibited the incorporation of [C]oleate into cholesteryl [C]oleate by 50% in monolayers of intact Chinese Hamster Ovary 7 (CHO-7) cells that were incubated with 10% fetal calf serum (FCS) (mean of 3 14 experiments for each compound).
Also, the static magnetization loops have been obtained experimentally at two temperatures for each compound, at 290 and 150 K for KTaO3 and at 290 and 110 K for KNbO3.
A single conformer was selected at random for each compound to perform the benchmark speed comparison.
At both electrodes, each compound exhibits a series of reduction peaks which represent sequential hydrodechlorination steps up to methane.
To assess whether the findings in the reporter gene assay are also valid for genomic BRCA1 mRNA expression, northern blot analysis was carried out to measure the effect on the BRCA1 mRNA level with each compound at 10 μM, except for TCDD at 10 nM and ICI 182780 at 100 nM. Figure 1 shows a PhosphorImager image of BRCA1, pS2 and GADPH hybridizations to a northern blot.
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LDA (linear discriminant analysis), SIMCA (soft independent modeling of class analogy), RP (recursive partitioning), and ANN (artificial neural network) algorithms successfully classified the active class of each compound at the average 73.6% and predicted at the average 69.8%.
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