Introduction
This is a Python package for the analysis PharmacoKinetic (PK) models of an injected solute dynamics over time. The code enables users to create models with custom parameters and find and plot the solutions. Users have the ability to plot multiple models together, and so compare them. Or plot the models separately for a more detailed and specific visualisation of a PK model.
The field of Pharmacokinetics (PK) provides a quantitative basis for describing the delivery of a drug to a patient, the diffusion of that drug through the plasma/body tissue, and the subsequent clearance of the drug from the patient’s system. PK is used to ensure that there is sufficient concentration of the drug to maintain the required efficacy of the drug, while ensuring that the concentration levels remain below the toxic threshold (See Fig 1). Pharmacokinetic (PK) models are often combined with Pharmacodynamic (PD) models, which model the positive effects of the drug, such as the binding of a drug to the biological target, and/or undesirable side effects, to form a full PKPD model of the drug-body interaction. This project will only focus on PK, neglecting the interaction with a PD model.
PK enables the following processes to be quantified:
Absorption
Distribution
Metabolism
Excretion
Model Overview
Setting up models