GitHub - osvalB/pykingenie: Python package to analyse binding kinetics data with simple models

Welcome to pyKinGenie!, a python package for analysing binding kinetics data

This project is under development, and breaking changes may occur at any moment!

Features

Import Octet files (.frd)
Import Gator files (Assay_#_Channel#.csv, Setting.ini and ExperimentStep.ini)
Import custom CSV files
Process the traces (alignment, baseline correction)
Calculate binding kinetics (k_on, k_off, K_D)
Global fitting of multiple traces
One-to-one, one-to-one with mass transport limitation, and one-to-one with induced fit models

Contributions are welcome! Please contact me at [email protected]

This project is licensed under the MIT License - see the LICENSE file for details.

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
.github/workflows		.github/workflows
docs		docs
src		src
test_files		test_files
tests		tests
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
build_docs.py		build_docs.py
pyproject.toml		pyproject.toml
uv.lock		uv.lock