py4chemoinformatics:用于化学信息学的Python

时间:2024-02-24 00:49:18
【文件属性】:

文件名称:py4chemoinformatics:用于化学信息学的Python

文件大小:13.12MB

文件格式:ZIP

更新时间:2024-02-24 00:49:18

python deep-learning jupyter chemistry cheminformatics

py4chemoinformatics:用于化学信息学的Python


【文件预览】:
py4chemoinformatics-master
----ch04_database.asciidoc(16KB)
----.gitignore(79B)
----ch03_python.asciidoc(8KB)
----images()
--------ch04()
--------mishimasyk.png(120KB)
--------jupyter.png(2KB)
--------ch05()
--------python_for_ci.png(254KB)
--------ch11()
--------souyakuchan.png(74KB)
--------ch02()
--------by-nc-sa.png(22KB)
--------ch08()
--------ch07()
--------ch10()
--------ch06()
----README.asciidoc(3KB)
----ch05_rdkit.asciidoc(14KB)
----ch11_dlqsar.asciidoc(14KB)
----pdf()
--------py4chemoinformatics.pdf(5MB)
----ch01_introduction.asciidoc(11KB)
----LICENSE(20KB)
----.DS_Store(6KB)
----mkpdf.sh(462B)
----ch10_deeplearning.asciidoc(6KB)
----ch12_generativemodels.asciidoc(4KB)
----ch02_installation.asciidoc(6KB)
----notebooks()
--------ch06_similarity.ipynb(174KB)
--------ch08_visualization.ipynb(166KB)
--------ch09_compounds.txt(34KB)
--------ch05_hetero_shuffle.ipynb(493KB)
--------ch07_MMS.ipynb(87KB)
--------ch05_rdkit.ipynb(609KB)
--------ch07_MCS.ipynb(93KB)
--------Chembl_FXa.txt(2.17MB)
--------ch09_qsar.ipynb(7KB)
--------ch08()
--------ch05_Sildenafil vs Vardenafil.ipynb(64KB)
--------ch06_nov_hts.sdf(13.54MB)
--------ch11_simple_dnn.ipynb(39KB)
--------ch05_compounds.sdf(94KB)
--------ch08_compounds.txt(148KB)
--------ch12_rnn.ipynb(955KB)
----ch07_graph.asciidoc(16KB)
----ch06_similarity.asciidoc(12KB)
----ch08_visualization.asciidoc(17KB)
----py4c-theme.yml(9KB)
----ch13_beyond.asciidoc(4KB)
----ch09_qsar.asciidoc(8KB)
----ch00_cover.asciidoc(374B)
----py4c.asciidoc(129KB)

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