Structure-Based Approach for the Prediction of Mu-opioid Binding Affinity of Unclassified Designer Fentanyl-Like Molecules

Structure-Based Approach for the Prediction of Mu-opioid Binding Affinity of Unclassified Designer Fentanyl-Like Molecules

Three quantitative structure-activity relationship (QSAR) models for predicting the affinity of mu-opioid receptor (OR) ligands have been developed. The resulted models, exploiting the accessibility of the QSAR modeling, generate a useful tool for the investigation and identification of unclassified...

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Bibliographic Details
Main Authors: Giuseppe Floresta, Antonio Rescifina, Vincenzo Abbate
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:International Journal of Molecular Sciences
Subjects:
QSAR
fentanyl
OR
opioid binding affinity
designer fentanyl-like molecules
novel synthetic opioids
new psychoactive substances
Online Access:https://www.mdpi.com/1422-0067/20/9/2311

Internet

https://www.mdpi.com/1422-0067/20/9/2311

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