Comparison between lab variability and prediction errors for the unbound fraction of drugs in human plasma.

Variability of the unbound fraction in plasma (f) between labs, methods and conditions is known to exist. Variability and uncertainty of this parameter influence predictions of the overall pharmacokinetics of drug candidates and might jeopardise safety in early clinical trials. Objectives of this study were to evaluate the variability of human f-estimates between labs for a range of different drugs, and to develop and validate an f-prediction method and compare the results to the lab variability.A new method with prediction accuracy (Q) of 0.69 for log f was developed. The median and maximum prediction errors were 1.9- and 92-fold, respectively. Corresponding estimates for lab variability (ratio between max and min f for each compound) were 2.0- and 185-fold, respectively. Greater than 10-fold lab variability was found for 14 of 117 selected compounds.Comparisons demonstrate that predictions were about as reliable as lab estimates when these have been generated during different conditions. Results propose that the new validated prediction method is valuable not only for predictions at the drug design stage, but also for reducing uncertainties of f-estimations and improving safety of drug candidates entering the clinical phase.