pharmacokinetics
The pharmacokinetics package is a Python package designed to make pharmacokinetic formulas easier to calculate in your Python code.
Usage
Some functions will use kwargs, which will allow the ability to use alternatives to values, e.g. the parameter t12 can be used instead of ke, which will convert the elimination half-life to the elimination rate constant with the following formula:
$\Large{\frac{\ln2}{t^{1/2}}}$
Calculating Concentrations
Calculating the concentration remaining after an elapsed time after peak concentration using the formula $C \cdot e^{-k_et}$:
import pharmacokinetics as pk
pk.single_dose.calculateRemaining(initial_concentration=10, time_elapsed=4, t12=9)
The above code will calculate the remaining concentration of a drug that has reached peak concentration 4 hours ago with an elimination half-life of 9 hours.
The formula to this function:
$10 \ mg \cdot e^{-\frac{\ln2}{9 \ h}4 \ h}=7.35 \ mg$
To calculate the concentration at any time $T$ (oral administration), the usage is:
import pharmacokinetics as pk
pk.concentrationAtTime(
dose=200,
vd=0.7,
bioavailability=0.99,
t12=4.5,
t12abs=7/60,
elapsed=6
)
This above code follows the formula:
$\frac{F \cdot D \cdot k_a}{Vd(k_a - k_e)}(e^{-k_e \cdot t} - e^{-k_a \cdot t})$
Alternatively, interval can be used if the drug is taken at intervals, this will use the formula:
$\Large{\frac{F \cdot D \cdot k_a}{Vd(k_a - k_e)}(\frac{e^{-k_e \cdot t}}{1 - e^{-k_e \cdot \tau}} - \frac{e^{-k_a \cdot t}}{1 - e^{-k_a \cdot \tau}})}$
Solving Values
Half-lives can be solved if the initial concentration, remaining concentration, and time elapsed are known:
import pharmacokinetics as pk
pk.single_dose.halflifeFromDoses(
dose=15,
dose=9,
elapsed=9
)
Where the time elapsed is the time past since the drug has reached maximum concentration and begins the elimination phase, which will then follow the formula $C = e^{-x \cdot 9 \ h}$ where $x$ is the elimination rate constant. Solving for $x$ becomes $\frac{\ln(\frac{9}{15})}{9} = -k_e$ to get half-life we use $\frac{\ln2}{|-k_e|} = 12.2 \ h$.
Calculating Peak Time
If a drug's absorption and elimination constants are known, the tmax can be calculated:
import pharmacokinetics as pk
pk.calculateTmax(t12=9, t12abs=0.75)
The formula to this calculation: $\frac{1}{k_a - k_e} \ln(\frac{ka}{ke}) = \frac{\ln(\frac{k_a}{k_e})}{k_a - k_e} = T_{max}$, which results in a tmax of 2.93 hours.
Disclaimers
This package uses real formulas, but that does not mean it is free from errors, for example, bugs and typos can result in inaccurate info.
If any bugs or inaccuracies are seen, open an issue so it can be fixed.
Developers
If you intend to install the edited package, create a wheel file:
$ pip3 install setuptools # required to build package (skip if already installed)
$ python3 -m build # builds the package to a wheel file
To install this, I recommend creating a virtual environment:
$ python3 -m venv .venv # creates virtual environment
$ source .venv/bin/activate # activates the virtual environment
Now use pip install with the file that was just created.
To deactivate the virtual environment:
$ deactivate
Contributing
Contributions must not break the code or change formulas.
Contributions that can possibly be accepted:
- fixed typos
- fixed bugs
- new formulas (source required)
Metadata
Release files for pharmacokinetics 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pharmacokinetics-0.1.tar.gz | 7.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pharmacokinetics-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.9 kB
Release files / pharmacokinetics-0.1.tar.gz
| Download URL | pharmacokinetics-0.1.tar.gz |
|---|---|
| Size | 7.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
356c2e8391351afb719eeb56a8e034d3a6823e0d5c9b44b2f3eddc56512d42ef
|
|
BLAKE2b-256 checksum How to use checksums |
c23f346a474d78c55f3003990fb17351686db303c513cbeb59877c2e66ed4bca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
|
Release files / pharmacokinetics-0.1-py3-none-any.whl
| Download URL | pharmacokinetics-0.1-py3-none-any.whl |
|---|---|
| Size | 9.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
da33a19379f9d11e6ce9ae43561f1fe6452dc57475f60bfee8ac77faddc03dee
|
|
BLAKE2b-256 checksum How to use checksums |
e041ccb0fa5982472b2512e1ef0fdbb26ddd08c376bf293e491b38283a4d9733
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.4
|
Security for pharmacokinetics 0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.