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The 3D distance factor is derived by fitting an equation to the data shown in supplemental Figure S1 (Additional file 1).
Most mathematical (e.g. equation-based) models are inductive: they start with data and then infer computational mechanisms that might produce that data; for example, fitting an equation to a pattern observed in data [ 21].
Steady-state kinetic parameters were estimated by fitting an equation for a sequential mechanism (eq 2, where A is thiosulfate and B is glutathione) to the data. 2 Reactions using p-toluenethiosulfonate (p-Tol-SO2S–) as the sulfane sulfur donor were conducted using 2 mm cuvettes at 25 °C in 50 mM potassium/sodium phosphate buffer (pH 8.0).
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Firstly, we see that the producer fits an equation as follows: frac{dP t)}{dt}=-b_{1}P t -a_{1}P t -a_{+m frac{dP(t)}{S(t)+d}.
The data were subjected to fit an equation which can predict the properties of all possible combinations.
A similar process was used to fit an equation predicting "serious asthma events", defined in Fuhlbrigge et al. as oral steroid use, hospitalization, or emergency room visit.
Approach 2 is very similar to Approach 1, with data simulated from fitting a size equation and using the mean and SD equations of CRL by log GA.
The age-related changes of serum OC concentrations in men and premenopausal women were modeled by fitting a quadratic equation.
To do this we fitted the model shown in Figure 1 using path analysis, that is by fitting a structural equation model containing no latent variables [ 23].
SERCA activity– pCa curves were generated with GraphPad Prism™ by non-linear regression curve fitting using an equation for a general cooperative model for substrate activation.
Similar results were obtained by fitting a nonlinear regression equation (Sved 1971).
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