Metadata-Version: 2.1
Name: dynetan
Version: 1.0.3
Summary: A Python implementation for Dynamical Network Analysis.
Home-page: UNKNOWN
Author: Marcelo C. R. Melo
Author-email: melomcr@gmail.com
License: UNKNOWN
Description: Dynamical Network Analysis
        ===========================
        
        The Python implementation of Dynamical Network Analysis was bulit to provide all functionalities necessary to the analysis of Molecular Dynamics (MD) simulations using the Dynamical Network Analysis method.
        
        Install
        -------
        
        Install the latest version of Dynamical Network Analysis::
        
            $ pip install dynetan
        
        For additional details, please see `INSTALL.rst`.
        
        Tutorial
        --------
        
        For an introduction to this implementation, a jupyter notebook tutorial has been prepared and released along with its latest publication:
        
        * Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics trajectories. J. Chem. Phys. (2020). DOI: `10.1063/5.0018980 <https://doi.org/10.1063/5.0018980>`_
        
        Resources and References
        ------------------------
        
        For the background on Dynamical Network Analysis, see the following papers that describe its development:
        
        * Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics trajectories. J. Chem. Phys. (2020). DOI: `10.1063/5.0018980 <https://doi.org/10.1063/5.0018980>`_
        
        * Experimental and computational determination of tRNA dynamics. FEBS Letters (2010). DOI: `10.1016/j.febslet.2009.11.061 <https://doi.org/10.1016/j.febslet.2009.11.061>`_
        
        * Exit strategies for charged tRNA from GluRS. JMB (2010). DOI: `10.1016/j.jmb.2010.02.003 <https://doi.org/10.1016/j.jmb.2010.02.003>`_
        
        * Dynamical Networks in tRNA:protein complexes. PNAS (2009). DOI: `10.1073/pnas.0810961106 <https://doi.org/10.1073/pnas.0810961106>`_
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
