Papers: 10.3390/ijms22136695
https://doi.org/10.3390/ijms22136695
Combined Naïve Bayesian, Chemical Fingerprints and Molecular Docking Classifiers to Model and Predict Androgen Receptor Binding Data for Environmentally- and Health-Sensitive Substances
Cited by: 3
Author(s): Alfonso T. García-Sosa, Uko Maran
Published: over 5 years ago
Software Mentions 1
pypi: QSAR
Python library for QSAR model from Juvena Machine Learning Team.Papers that mentioned: 176
Very Likely Science (75)