Skip to content
forked from kotori-y/Scopy

An integrated negative design python library for desirable HTS/VS database design

License

Notifications You must be signed in to change notification settings

allbegray/Scopy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Scopy: An integrated negative design Python library for desirable HTS/VS database design

Travis (.com) codecov GitHub last commit Conda PyPI MIT License Blog Kouhai

Overview

Scopy (Screnning COmpounds in PYthon), an integrated negative design python library designed for screening out undesirable compounds in the early drug discovery. Scopy includes six modules, covering data preparation, screening filters, the calculation of scaffolds and descriptors, and the visualization analysis.

Installation

Install RDKit

>>> conda install -c conda-forge rdkit

Install Scopy

Scopy has been successfully tested on Linux, OSX and Windows systems under Python3 enviroment.

Source

>>> git clone git@github.com:kotori-y/Scopy.git && cd scopy
>>> [sudo] python setup.py install

Conda Conda

>>> conda install -c kotori_y scopy

PyPI PyPI

>>> pip install cbdd-scopy

Documentation

(1)The online version of the documentation is available here: https://scopy.iamkotori.com/
(2)Quick start examples: https://scopy.iamkotori.com/user_guide.html
(3)Application examples(pipelines): https://scopy.iamkotori.com/application.html

Contact

If you have questions or suggestions, please contact: kotori@cbdd.me,and oriental-cds@163.com.
Please see the file LICENSE for details about the "MIT" license which covers this software and its associated data and documents.

Acknowledgement

Thanks to my colleague, Ziyi, for assisting me to complete the writing of document and article.

About

An integrated negative design python library for desirable HTS/VS database design

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 92.7%
  • Java 7.3%