Non-Steady State Kinetics Simulation

NSKinetics is a fast, flexible, open-source platform in Python to simulate and evaluate non-steady state reaction kinetics, especially for systems involving enzymatic conversions with inhibitory phenomena. NSKinetics enables the construction, simulation, and analysis of reaction systems governed by mass action kinetics or other user-defined rate laws, as well as the optimal design of experiments for parameter identifiability.

Getting Started

Tutorials on NSKinetics

https://nskinetics.readthedocs.io/en/latest/user_guide/Getting_started.html

Inverse Modeling

Fit parameters to data

https://nskinetics.readthedocs.io/en/latest/API/inverse_modeling.html

Design of Experiments

Computationally driven

https://nskinetics.readthedocs.io/en/latest/API/doe.html

API Reference

Detailed documentation

https://nskinetics.readthedocs.io/en/latest/API/api.html

Installation

Get the latest version of NSKinetics from PyPI. If you have an installation of Python with pip, simply install it with:

$ pip install nskinetics

To get the git version, use:

$ git clone git://github.com/sarangbhagwat/nskinetics

Or download directly from the GitHub page.

Common Issues

• Cannot install/update NSKinetics:

  If you are having trouble installing or updating NSKinetics, it may be due to dependency issues. You can bypass these using:

  $ pip install --user --ignore-installed nskinetics
  

  You can make sure you install the right version by including the version number:

  $ pip install nskinetics==<version>
  

  E.g., for version 0.1.4:

  $ pip install nskinetics==0.1.4