| Literature DB >> 34151205 |
Jin Hee Lee1, Suh-Youn Shon1, Woojin Jeon1, Sung-Jun Hong1, Junsu Ban1, Do Sup Lee1.
Abstract
Morphine is widely used in pain management although the risk of side effects is significant. The use of biased agonists to the G protein of μ-opioid receptors has been suggested as a potential solution, although oliceridine and PZM21 have previously failed to demonstrate benefits in clinical studies. An amplification-induced confusion in the process of comparing G protein and beta-arrestin pathways may account for previously biased agonist misidentification. Here, we have devised a strategy to discover biased agonists with intrinsic efficacy. We computationally simulated 430 000 molecular dockings to the μ-opioid receptor to construct a compound library. Hits were then verified experimentally. Using the verified compounds, we performed simulations to build a second library with a common scaffold and selected compounds that showed a bias to μ- and δ-opioid receptors in a cell-based assay. Three compounds (ID110460001, ID110460002, and ID110460003) with a dual-biased agonistic effect for μ- and δ-opioid receptors were identified. These candidates are full agonists for the μ-opioid receptor and show specific binding modes. On the basis of our findings, we expect our novel compounds to act as more biased agonists compared to existing drugs, including oliceridine.Entities:
Year: 2021 PMID: 34151205 PMCID: PMC8204323 DOI: 10.1021/acsptsci.1c00044
Source DB: PubMed Journal: ACS Pharmacol Transl Sci ISSN: 2575-9108