pbpk-lite 1.2.0

This is a simple implementation of PBPK modeling in python.

pbpk-lite

pbpk-lite is a lightweight Python package for basic physiologically based pharmacokinetic (PBPK) modeling.

It provides a simple programmatic interface for defining substance properties, patient physiology, elimination kinetics, and solving the resulting ODE system.

The implementation is intended to be used with a consistent unit system based on mass units for doses and amounts, milliliters (mL) for volumes, and minutes for time. When using the model, doses and clearances should be expressed in compatible units within that framework. The simulation itself uses minutes internally, while the plotting helpers can display the x-axis in minutes, hours, or days via the optional time_unit argument.

Features

• Substance partition coefficient calculation using logP and fraction unbound
• Patient blood flows and tissue volumes derived from body weight
• Linear liver and kidney elimination pathways
• ODE solution via scipy.integrate.solve_ivp
• Plotting helpers for whole-model, venous-blood, and selected-compartment concentration profiles
• Support for different administration routes, including intravenous, intra-arterial, and inhalation dosing

Installation

Install from PyPI:

pip install pbpk-lite

Quick Start

from pbpk_lite import model

m = model()
m.set_substance(log_p=6.97, fu=0.0022448)
m.set_patient(bw=70)
m.set_elimination(cl_l=748.6643482986731, cl_k=0)

dose = 25e6

doses = [dose]
times = [0, 60*24]

t, c = m.simulate(doses, times, route_of_administration='iv')

m.graph_whole('concentrations.png')
m.graph_venous('venous.png', limit_of_detection=0.15, time_unit='hours')
m.graph_compartments(['liver', 'kidney'], 'selected.png', time_unit='days')

# The underlying simulation still uses minutes internally; only the displayed axis changes.

Route of Administration

The simulate() method accepts a route_of_administration argument to control where each dose is introduced into the model.

Supported values are:

• iv: intravenous dosing into the venous blood compartment (default)
• ia: intra-arterial dosing into the arterial blood compartment
• inh: inhalation dosing into the lung compartment

Example:

m.simulate([dose], [0, 24*60], route_of_administration='inh')

Dosing Schedule

The simulate() method expects:

• doses: array-like of administered doses
• times: array-like of dosing times plus a final endpoint

Important: times must have exactly one more element than doses and must be strictly increasing. Each dose at index i is administered at times[i], and the final value in times is the last observation or endpoint. Times are interpreted in minutes, so dosing schedules and simulation endpoints should be provided in minutes.

Example with one dose:

# one dose at time 0, observation at 24 hours
doses = [dose]
times = [0, 60*24]

Example with two doses:

# two identical doses spaced one hour apart, with a final observation at 24 hours
doses = [dose, dose]
times = [0, 60, 60*24]

API Summary

pbpk_lite.model

set_substance(log_p, fu)

Set the substance physicochemical properties.

• log_p: log octanol-water partition coefficient
• fu: fraction unbound in blood

set_patient(bw)

Set patient physiological parameters using body weight in kilograms.

set_elimination(cl_l=0, cl_k=0)

Set linear clearance from liver and kidney compartments.

simulate(doses, times, route_of_administration='iv')

Simulate the PBPK model and return time points t and compartment concentrations c.

• route_of_administration: administration route used for each dose ('iv', 'ia', or 'inh')

graph_whole(name, time_unit='min')

Save a multi-panel plot of concentrations across all compartments. The optional time_unit argument can be 'min', 'hours', or 'days' to change the x-axis label and values.

graph_venous(name, limit_of_detection=None, log=True, time_unit='min')

Save a plot of venous blood concentrations, optionally marking a detection limit. The optional log argument controls whether the y-axis uses a logarithmic scale, and time_unit can be 'min', 'hours', or 'days' to change the x-axis label and values.

graph_compartments(compartments, name, time_unit='min')

Save a plot of selected compartments by name or index. The optional time_unit argument can be 'min', 'hours', or 'days' to change the x-axis label and values.

License

pbpk-lite is licensed under the MIT License.