Garcia-Sosa, A. T.; Maran, U. Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. Toxicological Sciences 2020.
QDB archive DOI: 10.15152/QDB.234 DOWNLOAD
QsarDB content
Property bindingClass: Androgen Receptor Binding Class
Proc.13: Procedure 13, Multivariate Logistic Regression
Logistic regression (classification)
Open in:QDB ExplorerQDB Predictor
| Name | Type | n | Accuracy |
|---|---|---|---|
| predicted Binding Class | training | 5529 | N/A |
Citing
When using this QDB archive, please cite (see details) it together with the original article:
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Garcia-Sosa, A. T. Data for: Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. QsarDB repository, QDB.234. 2020. https://doi.org/10.15152/QDB.234
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Garcia-Sosa, A. T.; Maran, U. Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. Toxicological Sciences 2020.
Metadata
| Title: | Garcia-Sosa, A. T.; Maran, U. Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. Toxicological Sciences 2020. |
| Abstract: | To be written |
| URI: | http://hdl.handle.net/10967/234
http://dx.doi.org/10.15152/QDB.234 |
| Date: | 2020-07-07 |
Files in this item
| Name | Description | Format | Size | View |
|---|---|---|---|---|
| newQDB.zip | Article Garcia-Sosa and Maran | application/zip | 1.564Mb | View/ |
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Original publications
University of Tartu (Estonia), Institute of Chemistry, Molecular Technology