Creating Populations

The properties of a population of individuals can be defined in the building block Population using the physiological database of PK-Sim®.

  • In case of the various animal species, no age-dependent distribution information for the anatomical and physiological parameters is included in the database so far. The algorithm generates random values in the Minimum Weight, Maximum Weight interval defined by the user. The generation of a population then simply is done by linear scaling of an average animal of the given species. This means, all organs always contribute to the same extent to the total body weight without taking into account differences e.g. related to growth or to different races of the respective animal species.

  • For humans, the population parameters database that comes with PK-Sim® includes information on the dependence of anatomical and physiological parameters relevant for PK-Sim® such as organ weights, blood flow rates, or tissue composition on age, gender, body weight, and body mass index, which have been collected in a comprehensive literature search. The algorithm generating a population then involves the following steps which are repeated until the target number of individuals is reached [97]:

  1. A list of genders is created according to the settings chosen by the user. Then for each gender, the algorithm tries to create an individual that should fulfill the previously defined criteria:

  2. An age value Age is drawn from a uniform random number distribution in the Minimum Age, Maximum Age interval.

  3. For the Age assigned above, a height value Height is randomly generated according to the height distribution defined in the database for the given age.

  4. Depending on the user inputs, the generation of the height value Height might fail (i.e. for Age defined in 2., the returned Height in 3. is not within the Minimum Height, Maximum Height interval). In that case, the algorithm tries to perform steps 2. and 3. again. After at maximum 100 attempts, there is certainly no data available in the database matching the user inputs and an exception is thrown.

  5. With Age and Height defined, the algorithm tries to create a random individual based on these values. The resulting body weight Weight should be in the Minimum Weight, Maximum Weight interval. The organ volumes are randomly generated according to their organ volume distribution. If the resulting weight, i.e. the sum of all organ volumes times their density, is in the desired Minimum Weight, Maximum Weight interval, the individual will be kept. If not, another individual is generated. This step is repeated up to one hundred times. If then still no individual with a BW within the Minimum Weight, Maximum Weight interval is found an exception is thrown.

  6. Then, the organ volume fractions of protein, water, and lipids are scaled according to the value defined in the database for the given age.

  7. Finally, all parameters other than organ volumes for which also distributions are available in the database (e.g. blood flow rates, hematocrit etc.) are being randomly generated according to their distributions.

  8. Finally, the algorithm checks that the BMI value corresponding to the generated Height - Weight combination resides in the Minimum BMI, Maximum BMI interval. If so, the individual is added to the population. If not, the individual is discarded.

The following figures show, as an example, the age dependence of the body weight, body height, and body mass index distribution for a certain population (white males). The data were taken from the NHANES study 82.

Definition of new Populations in PK- Sim®‌

To create a new population, do one of the following:

Modeling & Simulation Tab

Add Population...

  • Use the shortcut Ctrl+Alt+P

A dialog box will open where the properties of the population can be selected and/ or defined. The Create Population building block is subdivided into three tabs: Demographics, User Defined Variability, and Distribution.

The population is initialized by giving it a Name in the respective input field. The name is used to identify the population when its properties are saved in the project and/or as a template. Moreover, the name is used for identification of the population in the simulation.


In the first drop-down menu (Based on individual) you can specify an Individual that you previously defined in this project. A Population can then be created based on any Individual already defined. You need to specify the number of individuals in your population comprises and the percentage of females therein. In the tab User Defined Variability, changes in anatomical and physiological properties of the population you chose may be specified, i.e. anatomy and physiology including expression and ontogeny information about metabolizing enzymes, transport proteins and protein binding partners. Likewise, the distribution of the property may be specified and results are visualized in the next tab Distribution. A population can be based on an individual saved as template:

  • Select the individual from User Templates or Predefined Templates

  • Click OK

  • If the name of the Individual loaded from template is already used in the project, a new name has to be defined.

Alternatively, you can create a new individual which serves as a basis individual for the population:

In the following line, information about the population that will be used based on the selected basis individual is given. For the different animal species, no alternative populations are provided, but for humans, the following populations are available:

  • Asian (Tanaka, 1996) [74]

  • Black American (NHANES, 1997) [82]

  • European (ICRP, 2002) [84]

  • Mexican American -White (NHANES, 1997) [82]

  • White American (NHANES, 1997) [82]

  • Japanese (2015) [67]

  • Preterm

  • Pregnant (Dallmann et al. 2017)

In the Population Properties, the number of individuals can be selected. For human the individual's gender is defined additionally. You can define a female (proportion of females 100%), male (proportion of females 0%), or a mixed gender (proportion of females 1-99%) virtual population.

Further below, the Population Parameters Ranges can be set i.e. the anthropometry of the individuals can be constrained at the lower and/or upper end of the range.

If one of the animal species, i.e. Monkey, Beagle, Dog, Minipig, Rat, Rabbit or Mouse is selected, solely the minimum and maximum body weight in units of g or kg can be set.

Please note that for animal populations the minimum and maximum body weight represent required input parameters.

Technically, there is no restriction on the Minimum Weight, Maximum Weight interval values. However, please note that the generation of an animal population simply results from linear scaling of the average animal species with the algorithm generating random values in the entire Minimum Weight, Maximum Weight interval defined by the user. Hence, reasonable values should be chosen for this interval.

If a human population is defined, the menu items for the Population Parameters Ranges change and ranges for the following parameters can be set:

  • Age: The age range in units of year(s), month(s), week(s), or day(s).

The population database contains physiological information starting from newborns (age "0") to 80 year old individuals. In addition, a preterm model has recently been developed that has been integrated as a special population (see below). When a pediatric or elderly population is simulated, only the age dependence of anatomical properties (size of the organs, blood flow rates, body composition, etc.) is considered. However, important pharmacokinetic differences in children and elderly can be caused by age-related differences in, for example, hepatic metabolic activity. These effects are automatically accounted for if the ontogeny of the elimination process has been defined in the Expression tab for the underlying Individual. To manually account for variations in elimination, use the User Defined Variability tab.

  • Height: The range of body heights of the individuals in units of cm or m.

  • Weight: The range of body weight of the individuals in units of kg or g.

  • BMI: The range of body mass index of the individuals in units of kg/m2.

The BMI is a measure for the human fat content. It is given by the individual's height (H) and weight (BW) according to: BMI = BW / H2.

If as a special human population Preterm is selected, an additional age scale has to be taken into account. Preterm neonates are characterized by their gestational age (GA), which ranges between about 24 and 37 weeks, and their postnatal age (PNA, "Age"). In the model, preterm neonates catch up growth during their first two years of life so that there are no differences between a > 2 year old individual of the same race and gender born either preterm or term.

Please note that for human populations, the minimum and maximum age (and gestational age in case of preterms) are required input parameters. For height, weight and BMI, empty fields indicate the unconstrained state. The population database contains information on the age dependence of the body weight, body height, and body mass index distributions of various human populations. To remove a user input value press the delete button.

The algorithm will only create virtual individuals with reasonable characteristics, i.e. that are in agreement with the database. It is, for example, impossible to create a 30 year old male with a height of 100cm weighing 200 kg. If implausible combinations of weight, height and body mass index are given as constraints, PK-Sim® will not be able to create any individuals.

User Defined Variability‌

In the User Defined Variability tab, further physiological parameters can be varied, e.g. the gastrointestinal transit pattern, or transport or elimination via active processes, that are not automatically varied in the algorithm. The parameters that are available for additional statistical variation are grouped based on function and displayed, using the default settings, in a tree structure on the left hand side. Two parameter groups will always be available, namely the Anatomy and the Physiology parameter group. The appearance of a third parameter group, the Relative expressions is dependent on the processes defined in the basis individual.

The tree view shows only drawings that are currently open. To select a parameter,

  1. Click the plus sign (+) to open the respective tree view node

  2. If present, click the next plus sign (+) to open the subsequent level of the tree view

  3. Click on the desired parameter

Use the Filter function above the tree view to find parameters more quickly.

  • Normal: The parameter is normally (Gaussian-like) distributed. Mean and standard deviation must be given. Select the unit accordingly.

  • LogNormal: The parameter is log-normally distributed. Mean and geometric standard deviation must be given. Select the unit for the mean value accordingly. The standard deviation can be given as a (dimensionless) relative standard deviation.

  • Uniform: The parameter is evenly distributed between the minimum and maximum value. Select the unit accordingly.

  • Constant: The mean value is used for all individuals. Select the unit accordingly.

Variability in clearance processes does not only originate from variability in the organ volume or blood flow to the eliminating organ, but also from variability in the expression levels of the protein involved. Therefore, variations of the reference concentration of the enzyme or transporter can be taken into account in addition to the variability that automatically results from the physiological variations.

In case of a virtual human population that contains individuals of different ages, PK-Sim® automatically takes into account the developmental changes in the specific glomerular filtration rate, i.e. in the glomerular filtration rate normalized to the volume of the kidney. However, like for active processes, additional variations of the specific glomerular filtration rate can be taken into account.

If for active processes, i.e. metabolizing enzymes, transport proteins, and protein binding partners, an ontogeny function was selected in the Expression tab of the Individual building block for the basis individual, relative activity as a function of age will be taken into account in the human population.


In the Distribution tab, the distribution of parameters that are variable in the virtual population are shown. To select a certain parameter, mark it in the parameter tree on the left hand side. Again, you can use the Filter function above the tree view to find parameters more quickly. The distribution of the parameter selected will be depicted in the adjacent graphic. The parameter distribution can either be displayed as absolute counts or as percentage. Choose either Count or Percent from the drop-down menu below the parameter tree. For human populations, the parameter distributions are color coded. In case of a virtual human population that contains male and female individuals, you can select from the first drop-down menu whether all, only male, or only female individuals should be displayed. If All is selected, the gender specific data can either be shown as neighboring bars or stacking bars.

The distribution of any parameter can be copied as image via right mouse click on the graphic on the right hand side of the tab.

Setting or Editing Population Properties‌

To set or edit the properties of an existing population:

  1. Right mouse click on the respective population in the Building Block Explorer

or simply double click on the existing population in the Building Block Explorer.

Please note that the Demographics of an existing population including all parameters automatically generated by the population algorithm cannot be changed later on. In order to change the Demographics please create a new population.

Exporting Populations to CSV‌

Populations generated in PK-Sim® can be exported to a CSV format. The file, which can be opened in Excel®, contains all anatomical and physiological parameter values of each individual of the population. In order to export a population to csv:

  1. Right mouse click on the respective population in the Building Block Explorer

  2. Select Export to CSV...

  3. Choose directory and enter file name

  4. Click Save. The file is saved and can be subsequently opened with excel

In addition to the export of the population parameters to CSV, population simulations can be exported to CSV via the Simulation Explorer. Then, the population parameters file (.CSV), the respective model file (.xml) as well as an information file (.txt) with the relevant information about the PK-Sim® version number will be generated. For details please see (see PK-Sim® - Importing and Exporting Project Data and Models.

Cloning of Populations‌

To clone populations in the project:

  1. Right mouse click on the respective population in the Building Block Explorer

  2. Set an alternative name for the population clone and enter a description, if desired

Saving Populations as Templates‌

Previously defined populations can be saved as templates and then be shared among several projects and users.

To save an existing population as template:

  1. Right mouse click on the respective population in the Building Block Explorer

  2. In case a population with the same name already exists, a warning message will pop up and you have the following options:

    • Override: This action will override the existing template

    • Save as: You can save the population under a different name. In this case, you will be asked to Rename the new template.

    • Cancel: This action will abort the saving process

Loading of existing Populations from Templates‌‌

To load an existing population from the template database:

  1. Right mouse click on Populations in the Building Block Explorer

  2. Select the desired population from the user templates

    In case a population with the same name already exists in the project, a warning message will pop up and you will have to Rename the population that is to be loaded from the template.

The selected population will appear in the Building Block Explorer view.

In addition, populations can be directly loaded from the template database within a simulation (see PK-Sim® - Simulations.

Deleting Populations‌

To delete a population from the project:

  1. Right mouse click on the respective population in the Building Block Explorer

  2. Confirm to delete the population by clicking on Yes

Please note that a population that is used in any simulation of the project cannot be deleted.

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