Hill equation fits of modeled data at a range of cofactor amounts along with the fit to the transcriptional response in Fig 1 in Powis et al. (2011) [61].

Fitted parameters are shown as the best-fit value ± standard error. The upper part of the table shows fits for a series of varying cofactor amounts. The lower part of the table shows fits for a series of varying competing non-AHR cofactor binding sites (Other). Fitting was conducted with Graphpad Prism. The rising portion of the curve was fit. It was not possible to obtain a Hill equation fit to the modeled results at 60 molecules of cofactor. The lower part of the table shows the effect of changing the number of competing binding sites for the cofactor.
1 For 1000 cofactor molecules, points below 3 nM TCDD were fit, and for 800 molecules and lesser amounts, points below 1 nM TCDD were fit. It was not possible to obtain a Hill equation fit to the modeled results at 60 molecules of cofactor.
2 Transitional dose values (TDVs) as a measure of threshold were estimated by projecting to the background response using the methods for the Hill model described in Simon et al., (2014). [78] The equations for estimating TDVs using background projection from Simon et al., 2014 are shown in Equation D in S1 File.
Hill equation fits of modeled data at a range of cofactor amounts along with the fit to the transcriptional response in Fig 1 in Powis et al. (2011) [61].