Metadata-Version: 2.1
Name: nucleofind
Version: 0.5.4
Summary: NucleoFind: A Deep-Learning Network for Interpreting Nucleic Acid Electron Density
Author-Email: Jordan Dialpuri <jordan.dialpuri@york.ac.uk>
Classifier: License :: OSI Approved :: BSD License
Project-URL: Homepage, https://github.com/Dialpuri/NucleoFind
Requires-Python: >=3.8
Requires-Dist: onnxruntime
Requires-Dist: tqdm
Requires-Dist: gemmi
Description-Content-Type: text/markdown

Nucleic acid electron density interpretation remains a difficult problem for computer programs to deal with. Programs tend to rely on exhaustive searches to recognise characteristic features. NucleoFind is a deep-learning-based approach to interpreting and segmenting electron density. Using a crystallographic map, the positions of the phosphate group, sugar ring and nitrogenous base group are able to be predicted with high accuracy. 

## Documentation
[Link to Documentation](https://dialpuri.github.io/NucleoFind/about-nucleofind.html)
