Ensemble Molecular Dynamics
ensemble_md is a Python package that provides methods for setting up, running, and analyzing GROMACS simulation ensembles. Currently, the package implements all the necessary algorithms for running synchronous replica exchange (REX) of expanded ensembles (EE), abbreviated as REXEE, as well as its multi-topology (MT) variation, MT-REXEE. Our future work includes implementing asynchronous REXEE and other possible variations of the REXEE method. For installation instructions, theory overview, tutorials, and API references, please visit the documentation and our JCTC paper.
Reference
If you use any components of the Python package ensemble_md or the REXEE method in your research, please cite the following paper:
Hsu, W. T., & Shirts, M. R. (2024). Replica Exchange of Expanded Ensembles: A Generalized Ensemble Approach with Enhanced Flexibility and Parallelizability. Journal of Chemical Theory and Computation. doi: 10.1021/acs.jctc.4c00484
Copyright
Copyright (c) 2022, Wei-Tse Hsu
Acknowledgements
Project based on the Computational Molecular Science Python Cookiecutter version 1.6.
1 maintainer
Metadata
1 maintainer
Release files for ensemble-md 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ensemble_md-1.0.0.tar.gz | 584.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ensemble_md-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 858.3 kB
Release files / ensemble_md-1.0.0.tar.gz
| Download URL | ensemble_md-1.0.0.tar.gz |
|---|---|
| Size | 584.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d03dc7d4a6081488194ed3b16c981a404c996e458795778131736cec9f14b74f
|
|
BLAKE2b-256 checksum How to use checksums |
e06ac65741255ded96a12d9f57f745fce4ff8c2d976b29f1ed1e9f0382707137
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.15
|
Release files / ensemble_md-1.0.0-py3-none-any.whl
| Download URL | ensemble_md-1.0.0-py3-none-any.whl |
|---|---|
| Size | 273.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
53923e7950d7bd8a67c4d34ce43a68bae747c04d964084722ae0f93750f84b86
|
|
BLAKE2b-256 checksum How to use checksums |
08c36e6401e5aaf1675244fdf711e4f6b9e7f8931491a497ae538967135980fa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.15
|
