Metadata-Version: 1.1
Name: ProDy
Version: 0.9.3
Summary: A Python Package for Protein Dynamics Analysis
Home-page: http://www.csb.pitt.edu/ProDy
Author: Ahmet Bakan
Author-email: ahb12 at pitt dot edu
License: GPLv3
Description: TUTORIAL, EXAMPLES, and DOCUMENTATION
        -------------------------------------
        
        http://www.csb.pitt.edu/ProDy 
        
        SYNOPSIS
        --------
        
        ProDy is a free and open-source Python package for analyzing protein structural 
        dynamics. It allows for quantitative analysis of heterogeneous experimental 
        structural datasets and comparison with theoretically predicted conformational 
        dynamics. It is designed and developed by Ahmet Bakan in Bahar lab at the 
        University of Pittsburgh.
        
        The following are some of the main features:
        
        **Examination and analysis of structural variability observed in experiments:**
        
          * Fast and flexible parsing of PDB and DCD files
          * Powerful atom selections and contact identification
          * Matching, superposing, and comparing multiple structures/chains
          * PCA of X-ray structures, NMR models and mixed structural datasets 
            from Blast search
        
        **Prediction and analysis of protein dynamics using theory and simulation:**
        
          * Normal Mode Analysis using the Anisotropic network model (ANM)
          * Gaussian network model (GNM) analysis
          * Distance and property dependent force constant functions
          * Essential dynamics analysis (EDA) of MD snapshots
          * Comparative analysis and visualization of dynamics
        
        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 the ProDy package. Biopython is developed by The Biopython Consortium and 
        is available under the Biopython license (http://www.biopython.org/DIST/LICENSE).
        
        The pyparsing (http://pyparsing.wikispaces.com/) module is distributed with 
        the ProDy package. Pyparsing is developed by Paul T. McGuire and is available 
        under the MIT license (http://www.opensource.org/licenses/mit-license.php).
        
        The argparse module (http://code.google.com/p/argparse/) is distributed with 
        the ProDy package. Argparse is developed by Steven J. Bethard and is available 
        under the Python Software Foundation License.
        
        The ordereddict module (http://pypi.python.org/pypi/ordereddict) is distributed
        with ProDy package. Ordereddict is developed by Raymond Hettinger and is 
        available under the MIT License.
        
        DOWNLOADS & INSTALLATION
        ------------------------
          
        * http://www.csb.pitt.edu/ProDy/getprody.html
        * INSTALL.txt
        
        CHANGES
        -------
        
        * http://www.csb.pitt.edu/ProDy/changes.html
        * CHANGES.txt
        
        SOURCE
        ------
        
        * http://github.com/abakan/ProDy
        
        EMAILING LIST
        -------------
        
        * http://groups.google.com/group/prody-dev
        
        REPORT ISSUES
        -------------
        
        * https://github.com/abakan/ProDy/issues
          
        
Keywords: protein,dynamics,elastic network model,Gaussian network model,anisotropic network model,essential dynamics analysis,principal component analysis,Protein Data Bank,PDB,GNM,ANM,PCA
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Requires: NumPy
Provides: ProDy(0.9.3)
