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. 2021 Sep 16;153(11):e201711954. doi: 10.1085/jgp.201711954

Table 6. Models used to fit LmrP data (Fig. 8).

Model n Linked q SSR χυ2 BICWLS ΔBICWLS pK
1 2 Nothing 64 0.075598 1.1230 −30,382.8 139.7
2 3 Nothing 88 0.074582 1.1129 −30,242.2 280.4
3 2 Gaussians 36 0.079455 1.1651 −30,474.8 47.7 4.6 ± 0.6
4 3 Gaussians 46 0.077139 1.1329 −30,483.0 39.6
5 3 Custom 39 0.078279 1.1463 −30,498.7 23.8 4.6 ± 0.7
6 3 Custom 39 0.078139 1.1419 −30,509.5 13.1 4.8 ± 1.0
7 3 Custom 39 0.077450 1.1365 −30,522.6 0.0 4.7 ± 1.3

The models differ in the number of Gaussian components, n, used to define the distance distributions and in how their parameters are linked for the different datasets. In all models, the modulation depths, Δ, and the background parameters, η, for the different datasets are not linked. pK values are the negative logarithms of the dissociation constants.