Bootstrapping is an acceptable method to determine standard error for binding constants
Is it true that bootstrapping is an acceptable method to determine standard error for binding constants?
Yes. Bootstrapping is a recognized and effective resampling method used to accurately determine standard errors and confidence intervals for binding constants.
Verdict: SUPPORTED · 2 sources for, 0 against · Last checked
The claim is specific, empirical, and falsifiable. The retrieved papers explicitly support the use of bootstrapping for uncertainty quantification and standard error evaluation in binding constants and protein-binding models.
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Kazmierczak, N. P., Chew, J. A., & Griend, D. A. V. (2022). Bootstrap methods for quantifying the uncertainty of binding constants in the hard modeling of spectrophotometric titration data.. doi.org. https://doi.org/10.1016/j.aca.2022.339834
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Jun, H., Rong, Y., Yih, C., Ho, J., Cheng, W., & Kiang, T. K. L. (2020). Comparisons of Four Protein-Binding Models Characterizing the Pharmacokinetics of Unbound Phenytoin in Adult Patients Using Non-Linear Mixed-Effects Modeling.. doi.org. https://doi.org/10.1007/s40268-020-00323-2
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The claim is specific, empirical, and falsifiable. The retrieved papers explicitly support the use of bootstrapping for uncertainty quantification and standard error evaluation in binding constants and protein-binding models.
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