Literature DB >> 33448226

Structural Assessment of Agonist Efficacy in the μ-Opioid Receptor: Morphine and Fentanyl Elicit Different Activation Patterns.

Adrián Ricarte1,2,3, James A R Dalton1,2,3, Jesús Giraldo1,2,3.   

Abstract

Over the past two decades, the opioid epidemic in the United States and Canada has evidenced the need for a better understanding of the molecular mechanisms of medications used to fight pain. Morphine and fentanyl are widely used in opiate-mediated analgesia for the treatment of chronic pain. These compounds target the μ-opioid receptor (MOR), a class A G protein-coupled receptor (GPCR). In light of described higher efficacy of fentanyl with respect to morphine, we have performed independent μs-length unbiased molecular dynamics (MD) simulations of MOR complexes with each of these ligands, including the MOR antagonist naltrexone as a negative control. Consequently, MD simulations totaling 58 μs have been conducted to elucidate at the atomic level ligand-specific receptor activity and signal transmission in the MOR. In particular, we have identified stable binding poses of morphine and fentanyl, which interact differently with the MOR. Different ligand-receptor interaction landscapes directly induce sidechain conformational changes of orthosteric pocket residues: Asp1493.32, Tyr1503.33, Gln1262.60, and Lys2355.39. The induced conformations determine Asp1493.32-Tyr3287.43 sidechain-sidechain interactions and Trp2956.48-Ala2425.46 sidechain-backbone H-bond formations, as well as Met1533.36 conformational changes. In addition to differences in ligand binding, different intracellular receptor conformational changes are observed as morphine preferentially activates transmembrane (TM) helices: TM3 and TM5, while fentanyl preferentially activates TM6 and TM7. As conformational changes in TM6 and TM7 are widely described as being the most crucial aspect in GPCR activation, this may contribute to the greater efficacy of fentanyl over morphine. These computationally observed functional differences between fentanyl and morphine may provide new avenues for the design of safer but not weaker opioid drugs because it is desirable to increase the safety of medicines without sacrificing their efficacy.

Entities:  

Year:  2021        PMID: 33448226     DOI: 10.1021/acs.jcim.0c00890

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

1.  A comprehensive evaluation of the potential binding poses of fentanyl and its analogs at the µ-opioid receptor.

Authors:  Bing Xie; Alexander Goldberg; Lei Shi
Journal:  Comput Struct Biotechnol J       Date:  2022-05-14       Impact factor: 6.155

Review 2.  Recent Molecular Insights into Agonist-specific Binding to the Mu-Opioid Receptor.

Authors:  Ferenc Zádor; Kornél Király; Nariman Essmat; Mahmoud Al-Khrasani
Journal:  Front Mol Biosci       Date:  2022-06-13

3.  Hepatic and renal toxicities and metabolism of fentanyl analogues in rats.

Authors:  Yasushi Ono; Miho Sakamoto; Kosho Makino; Kuniaki Tayama; Yukie Tada; Yoshio Nakagawa; Jun'ichi Nakajima; Jin Suzuki; Toshinari Suzuki; Hideyo Takahashi; Akiko Inomata; Takako Moriyasu
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2022-10-21       Impact factor: 3.195

Review 4.  Unique Pharmacology, Brain Dysfunction, and Therapeutic Advancements for Fentanyl Misuse and Abuse.

Authors:  Ying Han; Lu Cao; Kai Yuan; Jie Shi; Wei Yan; Lin Lu
Journal:  Neurosci Bull       Date:  2022-05-15       Impact factor: 5.271

Review 5.  Fentanyl Structure as a Scaffold for Opioid/Non-Opioid Multitarget Analgesics.

Authors:  Piotr F J Lipiński; Joanna Matalińska
Journal:  Int J Mol Sci       Date:  2022-03-02       Impact factor: 5.923

6.  Molecular Basis of Inhibitory Mechanism of Naltrexone and Its Metabolites through Structural and Energetic Analyses.

Authors:  Martiniano Bello
Journal:  Molecules       Date:  2022-08-02       Impact factor: 4.927

Review 7.  Opioid Receptors and Protonation-Coupled Binding of Opioid Drugs.

Authors:  Samo Lešnik; Éva Bertalan; Urban Bren; Ana-Nicoleta Bondar
Journal:  Int J Mol Sci       Date:  2021-12-12       Impact factor: 5.923

8.  Comparison of an Addictive Potential of μ-Opioid Receptor Agonists with G Protein Bias: Behavioral and Molecular Modeling Studies.

Authors:  Lucja Kudla; Ryszard Bugno; Sabina Podlewska; Lukasz Szumiec; Lucja Wiktorowska; Andrzej J Bojarski; Ryszard Przewlocki
Journal:  Pharmaceutics       Date:  2021-12-27       Impact factor: 6.321

  8 in total

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