https://github.com/quantumjot/pyfolding-notebooks
Notebooks and example data for PyFolding
https://github.com/quantumjot/pyfolding-notebooks
Last synced: 3 months ago
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Notebooks and example data for PyFolding
- Host: GitHub
- URL: https://github.com/quantumjot/pyfolding-notebooks
- Owner: quantumjot
- License: mit
- Created: 2018-05-11T09:02:55.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-19T18:20:42.000Z (almost 7 years ago)
- Last Synced: 2025-01-12T23:43:46.483Z (4 months ago)
- Language: Jupyter Notebook
- Size: 3.26 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# PyFolding-Notebooks
**NOTE: These are the example data files and notebooks for PyFolding. Please see the PyFolding repository for the software.**
https://github.com/quantumjot/PyFolding
PyFolding is a simple Python based framework for fitting kinetic and
thermodynamic models to protein folding data. It includes several basic models
and is extensible to enable fitting of more interesting models.
---
### Citation
**PyFolding: An open-source software package for graphing, analysis and simulation
of thermodynamic and kinetic models of protein folding**
Lowe AR, Perez-Riba A, Itzhaki L, Main E (2018) Biophys J.
http://dx.doi.org/10.1016/j.bpj.2017.11.3779
```
@article{Lowe27112017,
author = {Lowe, Alan R. and Perez-Riba, Albert and Itzhaki, Laura S. and Main, Ewan R.G.},
title = {PyFolding: Open-Source Graphing, Simulation, and Analysis of the
Biophysical Properties of Proteins},
volume = {114},
number = {3},
pages = {511-521},
year = {2018},
doi = {10.1016/j.bpj.2017.11.3779},
URL = {http://dx.doi.org/10.1016/j.bpj.2017.11.3779},
eprint = {http://www.cell.com/biophysj/fulltext/S0006-3495(17)35041-5},
journal = {Biophysical Journal}
}
```