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3D–QSAR studies of orvinol analogs as κ-opioid agonists

Authors :
Qiong Xie
Wei Sheng
Zhuibai Qiu
Wei Li
Yun Tang
Source :
Journal of Molecular Modeling. 12:877-884
Publication Year :
2006
Publisher :
Springer Science and Business Media LLC, 2006.

Abstract

Orvinols are potent analgesics that target opioid receptors. However, their analgesic mechanism remains unclear and no significant preference for subtype opioid receptor has been achieved. In order to find new orvinols that target the κ-receptor, comparative 3D–QSAR studies were performed on 26 orvinol analogs using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The best predictions for the κ-receptor were obtained with the CoMFA standard model (q 2=0.686, r 2=0.947) and CoMSIA model combined steric, electrostatic, hydrophobic, and hydrogen bond donor/acceptor fields (q 2=0.678, r 2=0.914). The models built were further validated by a test set made up of seven compounds, leading to predictive r 2 values of 0.672 for CoMFA and 0.593 for CoMSIA. The study could be helpful for designing and prepare new category κ-agonists from orvinols.

Details

ISSN :
09485023 and 16102940
Volume :
12
Database :
OpenAIRE
Journal :
Journal of Molecular Modeling
Accession number :
edsair.doi.dedup.....70bac4065c642de4d3726b754b85748d