The allometric scaling is an empirical method developed based on cross‐species similarities in anatomy, physiology, and biochemistry, with a power function correlating physiological parameters with body size (
Y
=
aW
b
). This method has been used successfully to describe a number of physiological and anatomical properties and has been applied to the projection of human pharmacokinetic (PK) for small‐molecule drugs and therapeutic proteins. However, for most small‐molecule drugs with high cross‐species variability in hepatic metabolism, this method may not work well in the extrapolation of hepatic metabolic clearance from laboratory animals to humans. To improve the predictability of metabolic clearance in humans, several modified scaling methods using (i) maximum life span potential (MLP), (ii) brain weight (BRW), or (iii) liver blood flow (LBF) as a correction factor, or (iv) integration of the
in vitro
data into the power function by normalizing the
in vivo
clearance with
in vitro
metabolic clearance as correction factors have been recommended and tested. These modified scaling methods have improved the accuracy of prediction to some extent and are reviewed in this chapter. In recent years, there is an increasing interest in physiologically based pharmacokinetic (PBPK) and cell‐based pharmacokinetic (CBPK) pharmacokinetic modeling. Both approaches are developed based on the similar assumption that PK properties could be scaled up from animals to humans according to fundamental physiological principles. These advanced methods allow the integration of input information from different sources (e.g., physiological and physicochemical properties of a drug molecule, permeability and binding affinity from
in vitro
experiments, PK profiles from animal tests and clinical trials). In addition to the prediction of PK parameters (e.g., clearance, volume of distribution), the PBPK and CBPK models could also predict the concentration–time profiles in human blood as well as in tissues associated with efficacy and/or toxicity. The utility of PBPK and CBPK modeling goes beyond the prediction of “first‐in‐human trial,” as it has the potential to be continuously updated with new information (physiological and drug related). Some of the tools and techniques employed in PBPK and CBPK modeling are discussed in the second half of this chapter.