Metadata-Version: 2.4
Name: acellera-htmd
Version: 2.7.1
Summary: High throughput molecular dynamics (HTMD)
Author-email: Acellera <info@acellera.com>
License-Expression: LicenseRef-Acellera-Not-for-Profit
Project-URL: Homepage, https://github.com/Acellera/htmd
Project-URL: Bug Tracker, https://github.com/Acellera/htmd/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX :: Linux
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Description-Content-Type: text/markdown
License-File: LICENSE
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# HTMD: Programming Environment for Molecular Discovery

[HTMD](https://www.htmd.org) (an acronym for High-Throughput Molecular Dynamics) is a programmable, extensible platform
written in Python. It provides a complete workspace for simulation-based discovery through molecular simulations while
aiming to solve the data generation and analysis problem and increase reproducibility.

## Licensing

HTMD Community Edition is free to use for not-for-profit work(see LICENSE). Contact Acellera
[www.acellera.com/contact](https://www.acellera.com/contact/) for information on the full version of HTMD Pro or if you need a different license.

## Download HTMD

### Using released versions

HTMD is distributed through conda package manager. The instructions for downloading HTMD can be found in
[https://software.acellera.com/htmd/installation.html](https://software.acellera.com/htmd/installation.html).

### Using this repository

If you want to use this repository, we recommend to download a released version of HTMD still to have all dependencies
and then set PYTHONPATH to the git directory.

## HTMD Documentation and User Guide

For HTMD Documentation, please visit:
[https://software.acellera.com/htmd/api.html](https://software.acellera.com/htmd/api.html).

For a User Guide (easy-to-start examples), please visit:
[https://software.acellera.com/htmd/tutorials.html](https://software.acellera.com/htmd/tutorials.html)

## Support and Development

Please report bugs via [GitHub Issues](https://github.org/acellera/htmd/issues).

HTMD is an open-source software and we welcome contributions from the community.

## Citing HTMD

If you use HTMD in your publication please cite:

Stefan Doerr, Matthew J. Harvey, Frank Noé, and Gianni De Fabritiis.
**HTMD: High-throughput molecular dynamics for molecular discovery.**
_Journal of Chemical Theory and Computation_, **2016**, _12_ (4), pp 1845–1852.
[doi:10.1021/acs.jctc.6b00049](http://pubs.acs.org/doi/abs/10.1021/acs.jctc.6b00049)
