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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.

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If you find NucleoFind useful, please cite:

  • Jordan S Dialpuri, Jon Agirre, Kathryn D Cowtan, Paul S Bond, NucleoFind: A Deep-Learning Network for Interpreting Nucleic Acid Electron Density, Nucleic Acid Research, 2024 https://doi.org/10.1093/nar/gkae715

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Avatar for Dialpuri from gravatar.com Dialpuri

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Author: Jordan Dialpuri

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0.7.1

20 files

0.7.0

20 files

0.6.2

16 files

0.6.1

12 files

0.6.0

20 files

0.5.6

20 files

0.5.5

20 files

0.5.4

20 files

0.5.2

20 files

0.5

20 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.3

2 files

0.4.0

2 files

0.3.1

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2

2 files

0.0.1

2 files

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