P09-22: Grouping of endocrine disruptors based on molecular descriptors and docking data
Author:
Publisher
Elsevier BV
Subject
Toxicology,General Medicine
Reference3 articles.
1. Application of Supervised SOM Algorithms in Predicting the Hepatotoxic Potential of Drugs;Drgan;Int. J. Mol. Sci.,2021
2. Combined Naïve Bayesian, Chemical Fingerprints and Molecular Docking Classifiers to Model and Predict Androgen Receptor Binding Data for Environmentally- and Health-Sensitive Substances;García-Sosa;Int. J. Mol. Sci.,2021
3. Endocrine Disruptome – An Open Source Prediction Tool for Assessing Endocrine Disruption Potential through Nuclear Receptor Binding;Kolšek;J. Chem. Inf. Model.,2014
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