A recent publication in the Journal of PK/PD presents a general framework for modeling pharmacodynamic processes that are subject to autoregulation. Yaping Zhang and David Z. D’Argenio. Feedback control indirect response models. Journal of Pharmacokinetics and Pharmacodynamics.43(4) :343-358, 2016. DOI: 10.1007/s10928-016-9479-8 A general framework is introduced for modeling pharmacodynamic processes that are subject to autoregulation, which combines the indirect response (IDR) model approach with methods from classical feedback control of engineered systems. The canonical IDR models are modified to incorporate linear combinations of feedback control terms related to the time course of the difference (the error signal) between the pharmacodynamic response and its basal value. Following the well-established approach of traditional engineering control theory, the proposed feedback control indirect response models incorporate terms proportional to the error signal itself, the integral of the error signal, the derivative of the error signal or combinations thereof. Simulations are presented to illustrate the… Read more
Archive for 2018
ADAPT (version 5.0.058). A bug in the NPD standard error calculations for ML and MAP estimators, for the case of multiple outputs was corrected. Updated installation instructions recommending installation of Intel Parallel Studio XE without Microsoft Visual Fortran. See Installation Tab file on the ADAPT download page of the BMSR web site for complete details.