2017
DOI: 10.1021/acschemneuro.6b00460
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Molecular Docking, Molecular Dynamics, and Structure–Activity Relationship Explorations of 14-Oxygenated N-Methylmorphinan-6-ones as Potent μ-Opioid Receptor Agonists

Abstract: Among opioids, morphinans are of major importance as the most effective analgesic drugs acting primarily via μ-opioid receptor (μ-OR) activation. Our long-standing efforts in the field of opioid analgesics from the class of morphinans led to N-methylmorphinan-6-ones differently substituted at positions 5 and 14 as μ-OR agonists inducing potent analgesia and fewer undesirable effects. Herein we present the first thorough molecular modeling study and structure–activity relationship (SAR) explorations aided by do… Show more

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Cited by 29 publications
(28 citation statements)
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“…Accounting for pharmacophore models inferred within LigandScout, 20 receptor side chains in putative contact with the bound ligands are depicted in Figure 2 and listed in Table 2 . In line with our recent findings from molecular docking, 8 the aromatic ring of targeted morphinans was deduced to be embedded by hydrophobic residues (e.g., M151, V236, I296, and V300), which are responsible for hydrophobic interactions ( Table 2 and Figures 2 ). The participation of the phenolic hydroxyl group at position 3 in a water-mediated hydrogen-bonding network with H297 was shown by all ligands.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…Accounting for pharmacophore models inferred within LigandScout, 20 receptor side chains in putative contact with the bound ligands are depicted in Figure 2 and listed in Table 2 . In line with our recent findings from molecular docking, 8 the aromatic ring of targeted morphinans was deduced to be embedded by hydrophobic residues (e.g., M151, V236, I296, and V300), which are responsible for hydrophobic interactions ( Table 2 and Figures 2 ). The participation of the phenolic hydroxyl group at position 3 in a water-mediated hydrogen-bonding network with H297 was shown by all ligands.…”
Section: Resultssupporting
confidence: 87%
“… 5 , 7 Our recent molecular docking and molecular dynamics simulations study 8 using the active structure of the MOR (PDB code 5C1M) 9 in combination with structure–activity relationships (SAR) on N -methylmorphinan-6-ones revealed the subtle interplay between substituents at positions 5 and 14 in the morphinan scaffold in the ligand–MOR interaction by enabling identification of key structural elements that determine their distinct pharmacological profiles. 8 …”
mentioning
confidence: 99%
“…For this reason, powerful computational tools with high accuracy have been a great boon in identifying the probable compounds that could help in the field of drug discovery Noha et al, 2017]. This increases the demand for identification of novel personalized drug compounds with better efficacy.…”
Section: Journal Of Cellular Biochemistry a Computational Approach Tomentioning
confidence: 99%
“…Molecular docking is a common approach to modelling drug:target interactions, ranking various binding modes and predicting the binding a nity of a protein-ligand pair. Docking simulations have revealed information about receptor binding site conformations (10), and recently, identi ed novel drugs for the mu-opioid receptor (11)(12)(13). However, molecular docking studies focus primarily on the wild-type receptor, failing to capture the effect of functional variants on receptor binding a nity.…”
Section: Introductionmentioning
confidence: 99%