https://github.com/uibcdf/enmt

Open source library to work with elastic network models
https://github.com/uibcdf/enmt

elastic-network-models molecular-modeling molsysmt python

Last synced: 3 months ago
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Open source library to work with elastic network models

• Host: GitHub
• URL: https://github.com/uibcdf/enmt
• Owner: uibcdf
• License: other
• Created: 2022-02-19T01:03:59.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2025-02-24T05:12:25.000Z (3 months ago)
• Last Synced: 2025-02-24T06:24:00.279Z (3 months ago)
• Topics: elastic-network-models, molecular-modeling, molsysmt, python
• Language: Jupyter Notebook
• Homepage: https://www.uibcdf.org/enmt/
• Size: 7.45 MB
• Stars: 4
• Watchers: 1
• Forks: 3
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# ENMT

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Elastic Networks MultiToolkit (ENMT) is an open source library to work with Elastic Network Models.

## License

This project is under an MIT License. [A copy of the license text is included in this repository](LICENSE).

### Copyright

Copyright (c) 2022 [The Mexico Children's Hospital Federico Gómez](http://himfg.com.mx/), [its Unit of Research on Computational

Biology and Drug Design](http://uibcdf.org), and [authors](https://github.com/uibcdf/ENMT/graphs/contributors).

## Acknowledgements

Project based on the [Computational Molecular Science Python Cookiecutter](https://github.com/molssi/cookiecutter-cms) version 1.5.

## Contributors

A complete list of contributors can be found checking [the insights section of this

repository](https://github.com/uibcdf/ENMT/graphs/contributors).

The main project authors and major contributors are:

- Liliana M. Moreno Vargas

- Diego Prada Gracia