Skip to main content

Analyze correlated motions in MD trajectories with only a few lines of Python code.

Project description

MDEntropy is a python library that allows users to perform information-theoretic analyses on molecular dynamics (MD) trajectories. It includes methods to calculate:

  • Bias-Corrected Entropy
  • Conditional Entropy
  • Mutual Information
  • Normalized Mutual Information
  • Conditional Mutual Information
  • Normalized Conditional Mutual Information

Project details


Release history Release notifications

This version

0.2

Download files

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

Files for mdentropy, version 0.2
Filename, size File type Python version Upload date Hashes
Filename, size mdentropy-0.2.tar.gz (3.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page