Large-Scale Data of Traditional Chinese Medicine bioactivity
<p>These files work with KNIME diagram to handle all training data and external validation data. </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. </p> <p>4. After the screening process strored in KNIME, the <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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