pk/pd models describe the relation between drug dosing, concentration, and efficacy.
pharmacokinetic/pharmacodynamics (pk/pd) modeling, an integral component of the drug development process, is a mathematical technique for predicting the effect and efficacy of drug dosing over time. broadly speaking, pharmacokinetic models describe how the body reacts to a drug in terms of absorption, distribution, metabolism, and excretion. pharmacodynamic models describe how a drug affects the body by linking the drug concentration to an efficacy (or safety) metric. a well-characterized pk/pd model is an important tool in guiding the design of future experiments and trials.
the pk/pd modeling process includes the following steps:
- import, process, and visualize time-course data
- select a pharmacokinetic model from a library, or create mechanism-based pk/pd models using the interactive block-diagram editor
- estimate model parameters using nonlinear regression or nlme methods
- explore system dynamics, using parameter sweeps and sensitivity analysis
- simulate dosing strategies and what-if scenarios
to learn more about pk/pd modeling, see simbiology®.
examples and how to
getting started
software reference
- pharmacokinetic and pharmacodynamic modeling - documentation
see also: computational biology, biotech and pharmaceutical, curve fitting toolbox, statistics and machine learning toolbox, , research with matlab, quantitative systems pharmacology (qsp)