Metadata-Version: 2.1
Name: cgm-3d-cnn
Version: 0.0.2
Summary: A 3D Convolutional Neural Network that predicts protein secondary structure.
Home-page: https://github.com/akulikova64/cgm_3d_cnn
Author: Anastasiya V Kulikova
Author-email: akulikova82@yahoo.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: keras (>=2.3)
Requires-Dist: tensorflow (>=2.0)
Requires-Dist: matplotlib (>=3.1)
Provides-Extra: dev
Requires-Dist: pytest (>=5.4) ; extra == 'dev'

# cgm_3d_cnn - A tool that predicts protein structure from short and long-range contacts

*Anastasiya V. Kulikova and Claus O. Wilke*

[![PyPI version](https://badge.fury.io/py/cgm_3d_cnn.svg)](https://badge.fury.io/py/cgm_3d_cnn)
![PyPI - Downloads](https://img.shields.io/pypi/dm/cgm_3d_cnn)
![PyPI - License](https://img.shields.io/pypi/l/cgm_3d_cnn)

## Overview

Description in progress. Package in progress. 

## Installation

You can install cgm_3d_cnn with pip:
```bash
pip install cgm_3d_cnn
```
To install cgm_3d_cnn along with the tools to develop and run tests, run the following in your virtual environment:
```bash
pip install -e .[dev]
```

