A Python Package for Protein Dynamics Analysis
Project description
SYNOPSIS
ProDy is a free and open-source Python package for protein structure, dynamics, and sequence analysis. It allows for comparative analysis and modeling of protein structural dynamics and sequence co-evolution. Fast and flexible ProDy API is for interactive usage as well as application development. ProDy also comes with several analysis applications and a graphical user interface for visual analysis.
GETTING PRODY
You can run ProDy on all major platforms. For download and installation instructions see:
DOCUMENTATION
Homepage: http://www.csb.pitt.edu/ProDy
Tutorials: http://www.csb.pitt.edu/ProDy/tutorials
Reference: http://www.csb.pitt.edu/ProDy/reference
Applications: http://www.csb.pitt.edu/ProDy/apps
NMWiz GUI: http://www.csb.pitt.edu/NMWiz
SOURCE CODE
Source code: https://github.com/prody/ProDy
Issue tracker: https://github.com/abakan/ProDy/issues
LICENSE
ProDy is available under GNU General Public License version 3. See LICENSE.txt for more details.
Biopython (http://biopython.org/) KDTree and pairwise2 modules are distributed with ProDy. Biopython is developed by The Biopython Consortium and is available under the Biopython license (http://www.biopython.org/DIST/LICENSE).
Pyparsing (http://pyparsing.wikispaces.com/) module is distributed with ProDy. Pyparsing is developed by Paul T. McGuire and is available under the MIT license (http://www.opensource.org/licenses/mit-license.php).
Argparse module (http://code.google.com/p/argparse/) is distributed with ProDy. Argparse is developed by Steven J. Bethard and is available under the Python Software Foundation License.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for ProDy-1.4.10.win32-py3.1-numpy1.5.exe
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3fdb9b2aa6709d6d7d24be45aa0f420751d65f2c80c194ba765f6bbb5387f1b3 |
|
MD5 | a6500c38061335f1be39208d51056f47 |
|
BLAKE2b-256 | 84437766e10f850e2c3520bb1f4f7d52d0e58edeeaae9ea4224cf8ef2537f372 |
Hashes for ProDy-1.4.10.win32-py2.7-numpy1.5.exe
Algorithm | Hash digest | |
---|---|---|
SHA256 | 84d4f677f2235d399d718f6995867082c5e8ba9c7cade3cc28cfb8e3ac2ec1a0 |
|
MD5 | 257b0b75e551aa95b4afb2e2ce3fce3e |
|
BLAKE2b-256 | 704037dd3afc80385436036605f5452b158de1797d8f8503001221987902d57a |
Hashes for ProDy-1.4.10.win32-py2.6-numpy1.5.exe
Algorithm | Hash digest | |
---|---|---|
SHA256 | 52facba8b6e48bb6b6b9608011ba45970e0b95cdd2aa32bfef31c13543ca294b |
|
MD5 | 7c280c1812cb57f33ff4bf6695c1f907 |
|
BLAKE2b-256 | 44b01941d9175cb8e8069d2a808b07f11f22484a100980f8e4ce1708b6f11236 |