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Structural basis for μ-opioid receptor binding and activation
Adrian W R Serohijos1, Shuangye Yin, Feng Ding
1Biochemistry and Biophysics Department, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Abstract:
Opioids that stimulate the micro-opioid receptor (MOR1) are the most frequently prescribed and effective analgesics. Here we present a structural model of MOR1. Molecular dynamics simulations show a ligand-dependent increase in the conformational flexibility of the third intracellular loop that couples with the G protein complex. These simulations likewise identified residues that form frequent contacts with ligands. We validated the binding residues using site-directed mutagenesis coupled with radioligand binding and functional assays. The model was used to blindly screen a library of ∼1.2 million compounds. From the 34 compounds predicted to be strong binders, the top three candidates were examined using biochemical assays. One compound showed high efficacy and potency. Post hoc testing revealed this compound to be nalmefene, a potent clinically used antagonist, thus further validating the model. In summary, the MOR1 model provides a tool for elucidating the structural mechanism of ligand-initiated cell signaling and for screening novel analgesics.
Insights
Researchers developed a structural model for the micro-opioid receptor (MOR1), crucial for pain relief. This model aids in understanding how drugs interact with MOR1 and screens for new pain-relieving compounds.
Area of Science:
- Pharmacology and Structural Biology
- Computational Chemistry and Molecular Modeling
Background:
- Micro-opioid receptor (MOR1) agonists are primary analgesics.
- Understanding MOR1 structure is key to developing effective pain treatments.
Purpose of the Study:
- To create a structural model of MOR1.
- To use the model for identifying potential analgesic compounds.
Main Methods:
- Molecular dynamics simulations to analyze MOR1 flexibility and ligand interactions.
- Site-directed mutagenesis, radioligand binding, and functional assays to validate binding sites.
- Virtual screening of a large compound library using the MOR1 model.
Main Results:
- Identified ligand-dependent conformational changes in MOR1's intracellular loop.
- Validated key residues involved in ligand binding.
- Successfully identified nalmefene, a known antagonist, through virtual screening, validating the model's predictive power.
Conclusions:
- The developed MOR1 structural model is a valuable tool for understanding opioid receptor signaling.
- The model can effectively screen for novel analgesic drug candidates.
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