Related Experiment Video
Updated: May 12, 2026

Malachite Green Assay for the Discovery of Heat-Shock Protein 90 Inhibitors
Published on: January 20, 2023
Application of target-mediated drug disposition model to small molecule heat shock protein 90 inhibitors
Shinji Yamazaki1, Zhongzhou Shen, Ying Jiang
1Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, San Diego, CA, USA. shinji.yamazaki@pfizer.com
Abstract:
Replacement of hydrogen with fluorine within three pairs of structurally similar small molecule inhibitors of heat shock protein 90 (HSP90) resulted in differences in inhibition constants (K(i)) in vitro as well as marked differences in rat intravenous pharmacokinetic profiles. The difference in pharmacokinetic profiles between lower and higher affinity inhibitors (LAIs and HAIs, respectively) was characterized by remarkably different estimates for steady-state volumes of distribution (V(ss): 1.8-2.0 versus 10-13 l/kg) with comparable clearance estimates (3.2-3.5 l/h per kilogram). When the observed V(ss) estimates were compared with the values predicted with the tissue-composition-based model, the observed V(ss) estimates for HAIs were 4- to 8-fold larger than the predicted values, whereas the V(ss) values for LAIs were comparable. Accordingly, a negative relationship between in vitro HSP90 K(i) versus in vivo V(ss) estimates was observed among these inhibitors. We therefore hypothesized that pharmacokinetic profiles of these inhibitors could be characterized by a target-mediated drug disposition (TMDD) model. In vivo equilibrium dissociation constant (K(D)) estimates for HAIs due to target binding by TMDD model with rapid binding approximation were 1-6 nM (equivalent to 0.3-2 nM free drug), which appeared comparable to the in vitro K(i) estimates (2-3 nM). In vivo KD values of LAIs were not accurately determined by the TMDD model, likely due to nonspecific binding-dependent tissue distribution obscuring TMDD profiles. Overall, these results suggest that the observed large Vss estimates for potent HSP90 inhibitors are likely due to pharmacological target binding.
Related Concept Videos
Physiological Pharmacokinetic Models: Assumption with Protein Binding
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance
A recent model describes pravastatin's hepatobiliary excretion, mediated...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Protein-Drug Binding: Mechanism and Kinetics
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
