2019
DOI: 10.3390/molecules24040740
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Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis

Abstract: Interactions of 21 fentanyl derivatives with μ-opioid receptor (μOR) were studied using experimental and theoretical methods. Their binding to μOR was assessed with radioligand competitive binding assay. A uniform set of binding affinity data contains values for two novel and one previously uncharacterized derivative. The data confirms trends known so far and thanks to their uniformity, they facilitate further comparisons. In order to provide structural hypotheses explaining the experimental affinities, the co… Show more

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Cited by 47 publications
(46 citation statements)
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References 90 publications
(110 reference statements)
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“…Although present findings do not necessarily confirm in any possible way these substances' levels of use, they can still reflect the attention given by psychonauts to these drugs and help in explaining aspects of the current "opioid epidemic" (Kakko et al, 2019;Zhao, 2019). A few fentanyl analogs have been mentioned in the literature (Suzuki and El-Haddad, 2017;Zawilska, 2017;Misailidi et al, 2018;Lipiński et al, 2019), especially in terms of the acute clinical toxicity issues relating to their intake (Abdulrahim and Bowden-Jones, 2018). Vulnerable subjects can access online a large number of these substances (Suzuki and El-Haddad, 2017), without even being aware of what they are taking exactly (Ciccarone et al, 2017;Bardwell et al, 2019;McLean et al, 2019;Stein et al, 2019).…”
Section: Fentanyl Analogsmentioning
confidence: 64%
“…Although present findings do not necessarily confirm in any possible way these substances' levels of use, they can still reflect the attention given by psychonauts to these drugs and help in explaining aspects of the current "opioid epidemic" (Kakko et al, 2019;Zhao, 2019). A few fentanyl analogs have been mentioned in the literature (Suzuki and El-Haddad, 2017;Zawilska, 2017;Misailidi et al, 2018;Lipiński et al, 2019), especially in terms of the acute clinical toxicity issues relating to their intake (Abdulrahim and Bowden-Jones, 2018). Vulnerable subjects can access online a large number of these substances (Suzuki and El-Haddad, 2017), without even being aware of what they are taking exactly (Ciccarone et al, 2017;Bardwell et al, 2019;McLean et al, 2019;Stein et al, 2019).…”
Section: Fentanyl Analogsmentioning
confidence: 64%
“…Further, Phe3 in 1 and Phe4 in DAMGO are situated in the same S2 site. S2 is also occupied by phenyl rings of small molecular agonist BU72 in 5 C1 M [12] crystal structure ( Figure S18) or of fentanyl [32,33] according to molecular modeling ( Figure S19). The analogues of 1 were predicted to bind in orientations largely similar to that of the parent compound.…”
Section: Molecular Modelingmentioning
confidence: 99%
“…The main features of this binding mode are (1) the canonical ionic interaction of the protonated Tyr 1 amine with D147, (2) the location of the Tyr 1 phenol group close to H297, and (3) the position of the Phe 4 in a hydrophobic subsite made of side chains of several residues belonging to transmembrane helix 3 (TM3) and extracellular loops 1 and 2 (ECL1 and ECL2). The first and the third features correspond to analogous elements of the binding modes of small molecular MOR agonist BU72 (as found in crystal structure 5C1M [ 46 ]) or fentanyl (as found by modelling [ 42 , 47 ]).…”
Section: Resultsmentioning
confidence: 67%
“…In general, the most potent MOR ligands reported here (1c and 1d) have similarly high affinity as typical reference opioids, be they peptides (like biphalin, MOR IC 50 = 1.4 nM [33]) or non-peptides (like morphine, IC 50 = 4.02 nM [42]).…”
Section: Ypf-(truncated Endomorphin-2) 6amentioning
confidence: 53%