Automate the process for converting a given trajectory for a bead into the desired rdf. Establish a mapping for the coarse-grain bead and construct the corresponding coarse-grain trajectory.
... Incoming updates arriving this July 2017 to a Github repository near you ...
Install the following prerequisite packages, clone the repository on your local machine, and run the jupyter notebook file.
Download and install the following packages:
... Coming this July 2017 to a Github repository near you ...
... Coming this July 2017 to a Github repository near you ...
- MDTraj - Generate and read trajectories
- MSIBI - Run pair potential optimizations using multistate-iterative Boltzmann inversion.
- Davy Yue - Vanderbilt MuMS Institute Assistant Researcher - Profile
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Timothy C. Moore - Vanderbilt MuMS Institute Graduate Researcher - Profile
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Christoph Klein - Vanderbilt MuMS Institute Graduate Researcher - Profile
- Provided phenomenal coaching throughout API creation process
- Supplied creative ideas in every stage of the SDLC
See also the list of contributors who participated in this project.
Details of the underlying method and its validation can be found in a published paper here.
If you use this package or MSIBI, please cite the above paper. The BibTeX reference is
@article{Moore2014,
author = "Moore, Timothy C. and Iacovella, Christopher R. and McCabe, Clare",
title = "Derivation of coarse-grained potentials via multistate iterative Boltzmann inversion",
journal = "The Journal of Chemical Physics",
year = "2014",
volume = "140",
number = "22",
doi = "http://dx.doi.org/10.1063/1.4880555"
}
This project is licensed under the MIT License - see the LICENSE.md file for details
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