-
Notifications
You must be signed in to change notification settings - Fork 4
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #7 from TWendl/master
Efavirenz-Model.json and sections 2.2 and 2.3 updated
- Loading branch information
Showing
4 changed files
with
60 additions
and
61 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
42 changes: 21 additions & 21 deletions
42
Evaluation/Input/Content/Section2.3_Model_Parameters_and_Assumptions.md
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,36 +1,36 @@ | ||
### 2.3.1 Absorption | ||
### 2.3.1 Absorption | ||
|
||
Absorption observed in clinical studies can be fully explained by passive absorption. | ||
|
||
### 2.3.2 Distribution | ||
### 2.3.2 Distribution | ||
|
||
After testing the available organ-plasma partition coefficient and cell permeability calculation methods built in PK-Sim®, observed clinical data was best described by choosing the partition coefficient calculation by `Schmitt` and cellular permeability calculation by `PK-Sim Standard`. | ||
After testing the available organ-plasma partition coefficient and cell permeability calculation methods built in PK-Sim, observed clinical data was best described by choosing the partition coefficient calculation by `Schmitt` and cellular permeability calculation by `PK-Sim Standard`. | ||
|
||
### 2.3.3 Metabolism, Elimination and Induction | ||
### 2.3.3 Metabolism, Elimination and Induction | ||
|
||
Efavirenz is metabolized by CYP2B6, CYP3A4, CYP3A5, CYP1A2 and CYP2A6. | ||
|
||
Induction of CYP3A4 ([Shou 2008](#5-References)) and CYP2B6 ([Ke 2016](#5-References)) was taken into account. | ||
Induction of CYP3A4 ([Shou 2008](#5-References)) and CYP2B6 ([Ke 2016](#5-References)) was taken into account. | ||
|
||
### 2.3.4 Automated Parameter Identification | ||
### 2.3.4 Automated Parameter Identification | ||
|
||
The parameter identification tool in PK-Sim® has been used to estimate selected model parameters. For some of the parameters, factors were optimized to maintain their absolute value, e.g. a global factor for the k<sub>cat</sub> values of CYP2B6, CYP3A4, CYP3A5, CYP1A2 and CYP2A6 was optimized (rather than the absolute k<sub>cat</sub> values) to keep the ratio between the different k<sub>cat</sub> values constant. | ||
The parameter identification tool in PK-Sim has been used to estimate selected model parameters by adjusting to PK data of the clinical studies that were used in the model building process. For some of the parameters, factors were optimized to maintain their ratio, e.g. a factor for the kcat clearances values for CYP2B6, CYP3A4, CYP3A5, CYP1A2 and CYP2A6 was optimized to keep the ratio constant. | ||
|
||
The result of the final parameter identification is shown in the table below: | ||
The is result of the final parameter identification is shown in the table below: | ||
|
||
| Model Parameter | Optimized Value | Unit | | ||
| -------------------------- | --------------- | ---- | | ||
| `Lipophilicity` | 3.437 | | | ||
| `Specific intestinal permeability` | 2.972E-5 | cm/min | | ||
| `Solubility at Ref-pH` | 39.922 | mg/l | | ||
| `Fraction Unbound` | 5.955E-3 | | | ||
| `kcat` (CYP2B6) | 1.601 (factor: 0.31833 of literature reference) | 1/min | | ||
| `kcat` (CYP3A4) | 0.051 (factor: 0.31833 of literature reference) | 1/min | | ||
| `kcat` (CYP3A5) | 0.191 (factor: 0.31833 of literature reference) | 1/min | | ||
| `kcat` (CYP1A2) | 0.191 (factor: 0.31833 of literature reference) | 1/min | | ||
| `kcat` (CYP2A6) | 0.318 (factor: 0.31833 of literature reference) | 1/min | | ||
| `EC50` (CYP3A4) | 0.071 (factor: 0.009711of literature reference) | µmol/l | | ||
| `EC50` (CYP2B6) | 0.012 (factor: 0.009711of literature reference) | µmol/l | | ||
| `Dissolution time (50% dissolved)` | 60 | min | | ||
| `Dissolution shape` | 0.272 | | | ||
| Lipophilicity | 3.437 | | | ||
| Specific intestinal permeability | 2.972E-5 | cm/min | | ||
| Solubility at reference pH | 39.922 | mg/l | | ||
| fraction unbound | 5.955E-3 | | | ||
| kcat CYP2B6 | 1.601 (factor: 0.31833 of literature reference) | 1/min | | ||
| kcat CYP3A4 | 0.051 (factor: 0.31833 of literature reference) | 1/min | | ||
| kcat CYP3A5 | 0.191 (factor: 0.31833 of literature reference) | 1/min | | ||
| kcat CYP1A2 | 0.191 (factor: 0.31833 of literature reference) | 1/min | | ||
| kcat CYP2A6 | 0.318 (factor: 0.31833 of literature reference) | 1/min | | ||
| EC50 CYP3A4 | 0.071 (factor: 0.009711of literature reference) | µmol/l | | ||
| EC50 CYP2B6 | 0.012 (factor: 0.009711of literature reference) | µmol/l | | ||
| Dissolution time (50% dissolved) | 60 | min | | ||
| Dissolution shape | 0.272 | | | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters