Skip to main content

CANDO is a unique computational drug discovery, design, and repurposing platform.

Project description

Build Status codecov Anaconda-Server Badge Anaconda-Server Badge Anaconda-Server Badge

CANDO

Computational Analysis of Novel Drug Opportunities


Background

CANDO is an unique and innovative multiscale therapeutic discovery, repurposing, and design platform.

For additional information, publications, and funding sources, please check out our website or our ACKNOWLEDGEMENTS.

Install

You may download the source code via the releases or cloning the git repository. However, we suggest using anaconda to install the CANDO package, as this is the easiest and quickest way to start using our platform!

The CANDO package relies on multiple "conda-forge" dependencies. Therefore, we require that you add "conda-forge" to your anaconda channels:

conda config --add channels conda-forge

Then you can install CANDO using the following command:

conda install -c ram-compbio cando

Tutorial

There is a CANDO tutorial available as a Jupyter notebook. This notebook can be found here in this repo.

It can also be downloaded from anaconda:

anaconda download ram-compbio/CANDO_tutorial

Documentation

CANDO API can be found here

Test

You can test your install by running our script:

run_test.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cando_py-2.3.4.tar.gz (62.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cando_py-2.3.4-py3-none-any.whl (62.1 kB view details)

Uploaded Python 3

File details

Details for the file cando_py-2.3.4.tar.gz.

File metadata

  • Download URL: cando_py-2.3.4.tar.gz
  • Upload date:
  • Size: 62.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for cando_py-2.3.4.tar.gz
Algorithm Hash digest
SHA256 d3fc25a4403928a8ba1cd3a822a41f2dcc9cd2d3ae5b6a160d2f38f0cc74bef4
MD5 7a256daf120f51c23b8adbba5b514788
BLAKE2b-256 dfc3af3a1211e4450b8ca21cd044e009af2705c684a97416b24359d6bbe24934

See more details on using hashes here.

File details

Details for the file cando_py-2.3.4-py3-none-any.whl.

File metadata

  • Download URL: cando_py-2.3.4-py3-none-any.whl
  • Upload date:
  • Size: 62.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for cando_py-2.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 28d50e47c607c585554142ea92c8d73cb14ff55fa129fb7be254a4165a163f1b
MD5 7af486b67e866e236a2e000d644f2947
BLAKE2b-256 b2c5fea50b0dbda5c4dd36c3f19f2f7b105e21006a8c7361ff9146f420a1bea8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page