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Other Inputs

Other Inputs

✶ Lag time

Lag time is defined as the time taken for a drug to appear in systemic circulation subsequent to drug administration. This delay can be due to several factors such as delay in drug dissolution, or drug release from a delivery system etc. The lag time (if any) should be specified in hours. By default, there is no lag time in the models.

✶ Target concentration

An optional argument to enter the target concentration is provided. If this value is not zero, a horizontal line in red on the plots is shown.
Please note: Any positive value other than '0.0' would display a horizontal target line in red. The units are same as plasma concentration and can be selected using the adjacent box.

✶ Concentration units

Two concentration units are provided in the model for display - mg/L (or) μg/mL and ng/mL and are reflected in plots and tables.

Human model only

✶ Clinical study year

The average population tends to vary every few years. Therefore, the model has an option to select the appropriate year during which the clinical study was performed. This way, the available population nearest to the study year is used for simulation. By default, the latest year is considered.

✶ Scalars

The accuracy of dose predictions depends on the quality of the input data. Occasionally, discrepancies between observed and simulated data may arise due to limitations in in vitro-in vivo extrapolations. In such instances, adjustments to certain factors are necessary to align model simulations more closely with observed data. To facilitate this fine-tuning process, users have the option to adjust relevant parameters, including absorption rate, tissue-to-plasma ratios (utilizing a distribution scalar for consistency across organs and tissues), and clearance (both apparent and intrinsic), using scalar values in the provided boxes. Default value is 1. These scalars multiply the relevant process(es) by the given value.
Please note: If any of the scalars are set to zero or less, the model would automatically set the values to 1 to avoid errors.