Metadata-Version: 2.1
Name: solutionspacescanner
Version: 0.1.0
Summary: UNKNOWN
Home-page: UNKNOWN
Author: Alex Holehouse & Shahar Sukenik
Author-email: alex.holehouse@wustl.edu
License: LGPLv3
Description: SolutionSpaceScanner
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        [//]: # (Badges)
        [![Build Status](https://travis-ci.org/holehouse-lab/solutionspacescanner.svg?branch=master)](https://travis-ci.org/holehouse-lab/solutionspacescanner)
        [![Documentation Status](https://readthedocs.org/projects/solutionspacescanner/badge/?version=latest)](https://solutionspacescanner.readthedocs.io/en/latest/?badge=latest)
        [![codecov](https://codecov.io/gh/holehouse-lab/solutionspacescanner/branch/master/graph/badge.svg)](https://codecov.io/gh/holehouse-lab/solutionspacescanner)
        
        
        
        **SolutionSpaceScanner** is a Python package implemented to generate ABSINTH parameter files that can be used for running solution space
        scanning simulations. Finalization of this repository is ongoing (including tests, final code changes etc). 
        
        This code accompanies the paper [Controlling Structural Bias in Intrinsically Disordered Proteins Using Solution Space Scanning](https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.9b00604) accepted for publication in J. Chem. Theory Comput. in January 2020 and initially posted to biorxiv on August 30th 2019 from the [Holehouse](http://holehouselab.com) and [Sukenik](http://sukeniklab.com) labs.
        
        ### Documentation
        Documentation (installation and usage) can [be found here](https://solutionspacescanner.readthedocs.io/en/latest/index.html).
        
        
        ### Copyright
        
        Copyright (c) 2017-2020, Alex S. Holehouse & Shahar Sukenik
        
        
        #### Acknowledgements
         
        Project based on the 
        [Computational Molecular Science Python Cookiecutter](https://github.com/molssi/cookiecutter-cms) version 1.0. The development of **SolutionSpaceScanner** was supported by the [Molecular Sciences Software Insitute (MOLSSI)](https://molssi.org).
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
