Metadata-Version: 2.1
Name: pybindingcurve
Version: 0.2.3
Summary: Protein ligand binding simulation in Python
Home-page: https://github.com/stevenshave/pybindingcurve
Author: Steven Shave
Author-email: steve.nshave@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18.0)
Requires-Dist: matplotlib (>=3.2.1)
Requires-Dist: lmfit (>=1.0.0)
Requires-Dist: mpmath (>=1.1.0)

# PyBindingCurve
Binding curve simulation and experimental data fitting for multi component protein-ligand systems
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![PyBindingCurve simulation](https://raw.githubusercontent.com/stevenshave/pybindingcurve/master/pybindingcurve_logo.png "Breaking a dimer")

[PyBindingCurve on github](https://github.com/stevenshave/pybindingcurve)

# Usage

# Installation


# Requirements
PyBindingCurve was developed using python 3.7.1, but should work on any Python 3.6 or greater distribution.  It does however rely upon the lm_fit library to fit (and critically), return a 95% error band for the fit parameter, achieved by lmfit expanding upon the standard numpy fitting routines.
* Python (>=3.6)
* Matplotlib (2.x)
* Numpy (1.15.x)
* lm_fit (1.0.0)
* mpmath (1.1.0)

# Licence
MIT License - see 
[LICENSE](LICENSE)


# Authors
PyBindingCurve was written by Steven Shave 
![](https://raw.githubusercontent.com/stevenshave/pybindingcurve/master/email-address-image.gif)


Please get in contact for custom solutions, integration to existing workflows and training.




