Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation

Author(s):  
Xuan Jiang ◽  
Shuxiang Li ◽  
Hongbin Zhang ◽  
Liang-Liang Wang
Molecules ◽  
2020 ◽  
Vol 25 (9) ◽  
pp. 2087 ◽  
Author(s):  
Maria Dumitrascuta ◽  
Marcel Bermudez ◽  
Steven Ballet ◽  
Gerhard Wolber ◽  
Mariana Spetea

The mu opioid receptor (MOR) is the primary target for analgesia of endogenous opioid peptides, alkaloids, synthetic small molecules with diverse scaffolds, and peptidomimetics. Peptide-based opioids are viewed as potential analgesics with reduced side effects and have received constant scientific interest over the years. This study focuses on three potent peptide and peptidomimetic MOR agonists, DALDA, [Dmt1]DALDA, and KGOP01, and the prototypical peptide MOR agonist DAMGO. We present the first molecular modeling study and structure–activity relationships aided by in vitro assays and molecular docking of the opioid peptide analogues, in order to gain insight into their mode of binding to the MOR. In vitro binding and functional assays revealed the same rank order with KGOP01 > [Dmt1]DALDA > DAMGO > DALDA for both binding and MOR activation. Using molecular docking at the MOR and three-dimensional interaction pattern analysis, we have rationalized the experimental outcomes and highlighted key amino acid residues responsible for agonist binding to the MOR. The Dmt (2′,6′-dimethyl-L-Tyr) moiety of [Dmt1]DALDA and KGOP01 was found to represent the driving force for their high potency and agonist activity at the MOR. These findings contribute to a deeper understanding of MOR function and flexible peptide ligand–MOR interactions, that are of significant relevance for the future design of opioid peptide-based analgesics.


2013 ◽  
Vol 655-657 ◽  
pp. 1931-1934 ◽  
Author(s):  
Ming Liu ◽  
Lei Wang ◽  
Xiao Li Liu ◽  
Wen Xiang Hu

The interaction mechanism of a series of fentanyl analogs are examined using molecular docking to the mu-opioid receptor based on Surflex-Docking. Fully automatic flexible molecular docking (Surflex-Docking) was performed by using the possible active conformations of 70 fentanyl analogs and optimized 3D structure of mu-opioid receptor. The site mainly consist of residues ILE 109, ASP 112, TYR113, MET116, HIS262, TYR291. All these residues take part in interaction between fentanyl and mu-opioid receptor. Meanwhile, the results provide new insight to design of experiments aimed at understanding the structure.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Alan M. Daniel ◽  
Brenda G. Rushing ◽  
Karla Y. Tapia Menchaca

AbstractUnderstanding the emotional reaction to loss, or frustration, is a critical problem for the field of mental health. Animal models of loss have pointed to the opioid system as a nexus of frustration, physical pain, and substance abuse. However, few attempts have been made to connect the results of animal models of loss to human behavior. Allelic differences in the human mu opioid receptor gene, notably the A118G single nucleotide polymorphism, have been linked to individual differences in pain sensitivity, depressive symptoms, and reward processing. The present study explored the relationship between A118G and behavior in two frustrating tasks in humans. Results showed that carriers of the mutant G-allele were slower to recover behavior following a reward downshift and abandoned a frustrating task earlier than those without the mutation. Additionally, G-carriers were more sensitive to physical pain. These results highlight the overlap between frustration and pain, and suggest that genetic variation in opioid tone may contribute to individual differences in vulnerability and resilience following emotional disturbances.


2005 ◽  
Vol 280 (46) ◽  
pp. 38888
Author(s):  
Ying Zhang ◽  
Danxin Wang ◽  
Andrew D. Johnson ◽  
Audrey C. Papp ◽  
Wolfgang Sadée

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