Using several sample files provided with the Phoenix software, this tutorial introduces the steps to complete the following common tasks:
Start Phoenix and create a new project
Execute noncompartmental analysis
Perform pharmacokinetic modeling
Execute a bioequivalence model
Note: There may be multiple paths to accomplishing a step (e.g., main menu, right-click menu, drag-and-drop, etc.). For simplicity, only one is listed here.
Start Phoenix and create a new project
Double-click the Phoenix icon () on your desktop to start Phoenix.
Select File > New Project to create a new project.
A new project is created in the Object Browser and is in edit mode for you to name.
Name the new project by typing Quick Tour.
The left panel’s default view is the Object Browser, which contains the project and other folders and objects that are contained in the project.
The dataset Bguide1.dat will be used to test key Phoenix functions.
1. Click (Import File icon) in the toolbar.
2. Navigate to <Phoenix_install_dir>\application\Examples\WinNonlin\Supporting files.
3. Select the file Bguide1.dat and press Open.
The File Import Wizard is used to assign options for how the data are imported and loaded into a worksheet.
No changes need to be made to the default options for this dataset.
4. Press Finish.
The dataset is added to the project Data folder and the worksheet is displayed in the right viewing panel.
1. Right-click Bguide1 in the Data folder and select Send To > Plotting > XY Plot from the menu.
The default view of an object is the Setup tab, which contains all the steps necessary to set up an object.
2. Use the option buttons in the XY Data Mappings panel to map the data to the contexts as follows:
Subject to Group.
Time to X.
Conc to Y.
3. Click (Execute icon) to execute the workflow.
Now use the Bguide1 dataset to test the Table object and its summary statistics function.
1. Right-click Bguide1 in the Data folder and select Send To > Reporting > Table.
2. In the Main Mappings panel, map the data as follows:
Subject to Stratification Row.
Conc to Data.
Leave Time mapped to None.
3. From the Table Type menu in the Options tab (below the Setup tab), select Table 1 - Column Summary by Row Stratification.
4. Check the Page Break on Row Stratification box.
5. Select the Statistics tab, which is also located below the Setup tab.
6. Press Select All to select all output statistics.
7. Execute the object.
The results are presented as three HTML tables in the Results tab. Compare the table for the DW subject in the Results tab to the table pictured below.
Execute noncompartmental analysis
1. Select File > Load Project.
2. In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin.
3. Select Multiple_Profiles.phxproj and press Open.
This project contains:
A dataset worksheet (profiles)
A worksheet of dosing information (Dosing published from NCA)
An XY Plot object
An NCA model object
A Descriptive Statistics object
A Data Wizard object
An X-Categorical XY Plot object
4. Expand the workflow node.
5. Select the NCA model object in the Object Browser.
6. Select items in the Setup tab list to explore the data mappings and option settings.
7. Execute the object.
Notice in the Object Browser that Workflow, Descriptive Statistics, Data Wizard, and X_Categorical XY Plot objects have changed to red (out-of-date). If any object in a Workflow is red, the Workflow object will also be colored red. The three objects are red because their input depends on the NCA object’s output. Since the NCA object was executed, the dependent objects need to be re-executed using the new NCA results. For this tutorial, only the NCA object is executed.
Output worksheets
The NCA object creates several results worksheets including Dosing Used, Exclusions, Final Parameters, Final Parameters Pivoted, Partial Areas, Plot Titles, Slopes Settings, and Summary Table. Selections from the Final Parameters and Summary Table worksheets are shown below.
Part of the Final Parameters worksheet:
Part of the Summary Table worksheet:
Plots
A total of 12 pages of plots are generated; one for each of two formulations, for each of the six subjects. The first two charts for subject one are shown below.
Plots for subject one, capsule and tablet formulation:
Text output
The Core output contains the model settings and the same data as the worksheets but presented in plain ASCII text. If there were errors in the model they would be listed here. Below is part of a Core output text file.
…
Model: Plasma Data, Extravascular Administration
Number of nonmissing observations: 12
Dose time: 0.00
Dose amount: 100.00
Calculation method: Linear Trapezoidal with Linear
Interpolation
Weighting for lambda_z calculations: Uniform weighting
Lambda_z method: Find best fit for lambda_z, Log regression
Compute Concentrations at: 75
Summary Table
-------------
Time Conc. Pred. Residual AUC AUMC Weight
min ng/ml ng/ml ng/ml min*ng/ml min*min*ng/ml
------------------------------------------------------------
0.0000 0.0000 0.0000 0.0000
5.000 340.3 850.8 4254.
10.00 1914. 6487. 5.636e+04
15.00 2069. 1.644e+04 1.818e+05 1.000
20.00 1471. 2.529e+04 3.329e+05 1.000
30.00 788.8 3.659e+04 5.983e+05 1.000
45.00* 496.4 460.9 35.54 4.623e+04 9.434e+05 1.000
60.00* 372.8 357.2 15.63 5.275e+04 1.279e+06 1.000
90.00* 204.3 214.6 -10.33 6.141e+04 1.890e+06 1.000
120.0* 124.1 128.9 -4.852 6.633e+04 2.389e+06 1.000
180.0* 39.25 46.52 -7.266 7.123e+04 3.048e+06 1.000
240.0* 19.32 16.79 2.531 7.299e+04 3.389e+06 1.000
The Settings file lists all the settings used to specify the noncompartmental analysis. Below is part of a Settings text file.
…
Sort: Subject, Form
Time: Time [min]
Concentration: Conc [ng/mL]
Carry:
Dosing: (Internal)
Slopes: (Internal)
Partial Areas: (Internal)
Therapeutic Response: <None>
Units: (Internal)
Parameter Names: <None>
…
Plasma Model
Title=Processing Multiple Profiles with Model 200
Linear Trapezoidal Linear Interpolation
Sparse=False
Weighting=Uniform Weighting; 0
Dose Type=Extravascular
Dose Unit=ng
Dose Normalization=None
Compute Concentrations at: 75
Perform pharmacokinetic modeling
1. Select File > Load Project.
2. In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin.
3. Select PK_Model.phxproj and press Open.
This project contains:
A dataset worksheet (study1)
An XY Plot object
A PK model object
4. Expand the workflow node.
5. Select the PK object.
6. Select items in the Setup tab list to explore the model’s data mappings and option settings.
The imported PK Model object uses PK Model 3, which is a one-compartment model with 1st order absorption.
7. Execute the object.
Output worksheets
The PK Model object’s output worksheets partially include Condition Numbers, Diagnostics, Dosing Used, Final Parameters, Initial Estimates, Secondary Parameters, and Summary Table. The Final Parameters, Secondary Parameters, and Summary Table worksheets are shown below.
Final Parameters worksheet:
Secondary Parameters worksheet:
Summary Table worksheet:
Plots
The plot results include Observed Y and Predicted Y vs X, Partial Derivatives Plot, Predicted Y vs Observed Y, Predicted Y vs X, Residual Y vs Predicted Y, and Residual Y vs X. Some plot results are shown below.
Observed Y and Predicted Y vs X:
Predicted Y vs Observed Y:
Residual Y vs X:
Text output
The Core output text results include all model settings and iterations, including the output from the worksheets. Any model errors would be listed here. Below is part of the Core output text file.
…
Listing of input commands
MODEL 3
NVAR 3
NPOI 1000
XNUM 2
YNUM 3
NCON 3
CONS 1,2,0
METH 2'Gauss-Newton (Levenberg and Hartley)
ITER 50
INIT 0.25,1.81,0.23
MISS '.'
DATA 'WINNLIN.DAT'
BEGIN
The Settings file lists all the settings used to specify the noncompartmental analysis. Below is part of the Settings text file.
…
Main: PK Model.Data.study1
Sort: Subject
Time: Time [hr]
Concentration: Conc [ng/mL]
Carry:
Dosing: (Internal)
Initial Estimates: (Internal)
Units: (Internal)
***** Other Parameters *****
…
PK 3-[PK]
Gauss-Newton (Levenberg and Hartley)
Convergence criteria of 0.0001 used during minimization process
50 maximum iterations allowed during minimization process
Execute a bioequivalence model
1. Select the Quick Tour project in the Object Browser.
2. Click in the toolbar.
3. In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin\Supporting files.
4. Select the file Seq2Per4.csv and press Open.
In the File Import Wizard dialog, press Finish.
5. Right-click the Seq2Per4 worksheet in the Data folder and select Send To > Computation Tools > Bioequivalence.
The Bioequivalence object is added to the workflow in the Object Browser and the following data types are automatically mapped to contexts.
Sequence to Sequence.
Subject to Subject.
Period to Period.
Formulation to Formulation.
6. In the Main Mappings panel, map AUC to the Dependent context.
7. In the Model tab (located below the Setup tab), ensure the following settings:
Crossover is selected as the Type of study.
Average is selected as the Type of Bioequivalence.
R is selected as the Reference Formulation.
8. Select the Fixed Effects tab (below the Setup tab).
Ln(x) is automatically selected in the Dependent Variables Transformation menu. Do not change this setting.
9. Execute the object.
Worksheets
The bioequivalence model worksheet output partially includes Average Bioequivalence, Diagnostics, Final Fixed Parameters, Final and Initial Variance Parameters, Least Squares Means, and Sequential Tests. The Diagnostics, Final Variance Parameters, and Sequential Tests worksheets are shown below.
Average Bioequivalence worksheet:
Diagnostics worksheet:
Final Variance Parameters worksheet:
Sequential Tests worksheet:
This concludes the Quick Tour of Phoenix. You may save the Quick Tour projects or close them.
Legal Notice | Contact Certara
© Certara USA, Inc. All rights reserved.