Toward a Universal μ-Agonist Template for Template-Based Alignment Modeling of Opioid Ligands
Affiliation
Univ Arizona, Dept Chem & BiochemIssue Date
2019-10-22
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AMER CHEMICAL SOCCitation
ACS Omega 2019, 4, 17457−17476Journal
ACS OMEGARights
Copyright © 2019 American Chemical Society. This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Opioid ligands are a large group of G-protein-coupled receptor ligands possessing high structural diversity, along with complicated structure–activity relationships (SARs). To better understand their structural correlations as well as the related SARs, we developed the innovative template-based alignment modeling in our recent studies on a variety of opioid ligands. As previously reported, this approach showed promise but also with limitations, which was mainly attributed to the small size of morphine as a template. With this study, we set out to construct an artificial μ-agonist template to overcome this limitation. The newly constructed template contained a largely extended scaffold, along with a few special μ-features relevant to the μ-selectivity of opioid ligands. As demonstrated in this paper, the new template showed significantly improved efficacy in facilitating the alignment modeling of a wide variety of opioid ligands. This report comprises of two main parts. Part 1 discusses the general construction process and the structural features as well as a few typical examples of the template applications and Part 2 focuses on the template refinement and validation.Note
Open access journalISSN
2470-1343PubMed ID
31656918Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1021/acsomega.9b02244
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