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.

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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.

QDB archive DOI: 10.15152/QDB.234   DOWNLOAD

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Property bindingClass: Androgen Receptor Binding Class

Proc.13: Procedure 13, Multivariate Logistic Regression

Logistic regression (classification)

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NameTypenAccuracy
predicted Binding Classtraining5529N/A

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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. http://dx.doi.org/10.15152/QDB.234

  • 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.

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dc.date.accessioned2020-07-07T10:58:21Z
dc.date.available2020-07-07T10:58:21Z
dc.date.issued2020-07-07
dc.identifier.urihttp://hdl.handle.net/10967/234
dc.identifier.urihttp://dx.doi.org/10.15152/QDB.234
dc.description.abstractTo be written
dc.publisherAlfonso T. Garcia-Sosa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleGarcia-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.property.endpoint4. Human health effects 4.18. Endocrine Activityen_US
qdb.descriptor.applicationGlideen_US
qdb.descriptor.applicationJChemen_US
bibtex.entryarticleen_US
bibtex.entry.authorGarcia-Sosa, A. T.
bibtex.entry.authorMaran, U.
bibtex.entry.journalToxicological Sciencesen_US
bibtex.entry.monthDec
bibtex.entry.titleUsing combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA dataen_US
bibtex.entry.year2020
qdb.model.typeRegression model (classification)en_US


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