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Large-Scale Data of Traditional Chinese Medicine bioactivity

<p>These files work with KNIME diagram to handle all training data and external validation data.&nbsp;</p> <p>1. <strong>TCM_inchikey.xlsx</strong> includes all chemical structure data from 16 TCM databases.</p> <p>2. After data augmentation, the original TCM structure data was expanded and stored as the <strong>2000w_inchikey.txt</strong>.</p> <p>3. Then TCM_inchikey.xlsx and 2000w_inchikey.txt were separatly mapped on the ChEMBL32 to acquire the bioassay data. Due to ChEMBL32 was acquired by SQL, please check KNIME diagram stored in github site for ChEMBL32 data and the mapped bioassay data.&nbsp;</p> <p>4. After the screening process strored in KNIME, the&nbsp;<strong>training_data.zip</strong> was acquired.</p> <p>5. <strong>BindingDB_bioassay.csv</strong> and <strong>pubchem_bioassay.csv</strong> were used to form the external validation data, that is <strong>external data.zip</strong>.</p>

ShareScore

16/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
0
Engagement
0

Dataset details

Repository
zenodo
Published
July 29, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.13132710

Scored with release 0.9.0

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