dialpuri/NucleoFind
By dialpuri · ↓ 0 · ♥ 0 · Updated 2024-12-23
What's in this repo
This page lists the files in dialpuri/NucleoFind, including nucleofind-multiclass-filters16-26M.onnx, nucleofind-multiclass-filters32-105M.onnx.
- 2 ONNX models (.onnx files)
- 4 files, including 2 .onnx, 1 .md
- Last updated 2024-12-23
ONNX files
| File | Size | Download |
|---|---|---|
| nucleofind-multiclass-filters16-26M.onnx | — | Download |
| nucleofind-multiclass-filters32-105M.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
NucleoFind
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.
Model Details
Model Description
NucleoFind is based on a 3D-UNet architecture.
- Developed by: Jordan Dialpuri, Jon Agirre, Kathryn Cowtan and Paul Bond, York Structural Biology Laboratory, University of York
- Funded by BBSRC and The Royal Society
- Model type: Multiclass
- Language(s) (NLP): Python
- License: LGPL-3
Model Card Authors
Jordan Dialpuri
Model Card Contact
Jordan Dialpuri - jordan.dialpuri (at) york.ac.uk
Model info
Created: 2024-12-23
Updated: 2024-12-23
View on Hugging FaceFiles (4)
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