nucleofind

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.

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Project details

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0.7.1

Oct 10, 2024

0.7.0

Sep 14, 2024

0.6.2

Jun 26, 2024

This version

0.6.1

May 24, 2024

0.6.0

May 24, 2024

0.5.6

Apr 12, 2024

0.5.5

Apr 5, 2024

0.5.4

Apr 3, 2024

0.5.2

Mar 28, 2024

0.5

Mar 23, 2024

0.4.8

Feb 24, 2024

0.4.7

Jan 11, 2024

0.4.6

Dec 28, 2023

0.4.3

Dec 23, 2023

0.4.0

Dec 22, 2023

0.3.1

Nov 30, 2023

0.2.5

Oct 18, 2023

0.2.4

Oct 18, 2023

0.2.3

Oct 18, 2023

0.2.2

Oct 18, 2023

0.2.1

Oct 18, 2023

0.2

Oct 18, 2023

0.0.1

Nov 30, 2023

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nucleofind-0.6.1-cp312-abi3-musllinux_1_1_x86_64.whl (6.9 MB view hashes)

Uploaded May 24, 2024 CPython 3.12+ musllinux: musl 1.1+ x86-64

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Uploaded May 24, 2024 CPython 3.11 musllinux: musl 1.1+ x86-64

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Uploaded May 24, 2024 CPython 3.10 musllinux: musl 1.1+ x86-64

nucleofind-0.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.5 MB view hashes)

Uploaded May 24, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

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nucleofind-0.6.1-cp310-cp310-macosx_10_14_x86_64.whl (6.2 MB view hashes)

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