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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 17457-17476 |
| Number of pages | 20 |
| Journal | ACS Omega |
| Volume | 4 |
| Issue number | 17 |
| DOIs | |
| State | Published - Oct 22 2019 |
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering
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