NucleoFind: A Deep-Learning Network for Interpreting Nucleic Acid Electron Density
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nucleofind-0.4.3.tar.gz
(8.4 kB
view hashes)
Built Distribution
Close
Hashes for nucleofind-0.4.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1a4aeb99e6409477bd5fe99d4a8e3d0a07f7ceae3238d470e7aa429e81fc7104 |
|
MD5 | 59d20893186dfaea2d77a4aba8b0b981 |
|
BLAKE2b-256 | 96b1ec38a6da5faf2db501fead49204b08e60596abe90460e94e743b0e32de41 |