Getting started

Getting started with Teoreler, a web-based Physiologically Based Pharmacokinetic (PBPK) model application involves understanding the scientific foundations of pharmacokinetics, PBPK modelling and the practical steps required to use an interactive, browser-based platform effectively. Teoreler is designed to make complex pharmacokinetic modelling more accessible by combining validated physiological models with user-friendly graphical interface.

The first step is to become familiar with the purpose and scope of the application. PBPK tools aim to simulate drug absorption, distribution, metabolism, and excretion across different tissues and populations. Users should review the model documentation to understand which species, populations (such as adults, pediatrics, or special disease states), and routes of administration are supported, as well as any assumptions or limitations built into the model.

Next, users should gather the necessary drug-specific input data. This typically includes physicochemical properties such as molecular weight, lipophilicity, solubility, and ionization constants, as well as biological parameters like intrinsic clearance or enzyme kinetics. Many applications provide default values or libraries for common compounds, but users should verify or customize these inputs based on experimental in vitro or published in vivo data to improve prediction accuracy.

Once the compound data are entered, the user selects the system parameters that define the virtual population. Teoreler allows customizations of some parameters such as age, sex, organ function etc. with many more being added in the future iterations. These system settings are critical because PBPK models rely on physiological realism, and small changes in organ blood flow or enzyme expression can significantly affect simulated concentration–time profiles.

After defining the compound and population, users configure the simulation scenario. This includes choosing the route of administration, dose level, dosing frequency, and duration of treatment. Scenario comparisons that enable users to run multiple simulations side by side to evaluate different dosing strategies or to assess the impact of physiological variability would be added in the future updates.

The simulation results are presented as interactive plots and tables showing predicted drug concentrations in plasma and tissues over time. Users should carefully interpret these outputs, focusing on key pharmacokinetic metrics such as peak concentration, exposure, and time to steady state. It is good practice to compare predictions with available clinical or preclinical data to build confidence in the model’s performance.

Finally, effective use of a Teoreler, a web-based PBPK application requires an iterative mindset. Users may refine inputs, test assumptions, and explore uncertainty or sensitivity analyses to understand which parameters drive model behavior. By combining domain knowledge with the accessibility of a web-based platform, PBPK modelling can become a powerful tool for decision-making in drug development, clinical trial design, and regulatory science.