Metadata-Version: 2.1
Name: pybindingcurve
Version: 0.2.2
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
Description: # PyBindingCurve
        Binding curve simulation and experimental data fitting for multi component protein-ligand systems
        --
        
        ![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 (0.9.11)
        * mpmath (1.0.0)
        
        # 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.
        
        
        
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
