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 complexes of the studied derivatives with μOR were modeled and subject to molecular dynamics simulations. Five common General Features (GFs) of fentanyls’ binding modes stemmed from these simulations. They include: GF1) the ionic interaction between D147 and the ligands’ piperidine NH+ moiety; GF2) the N-chain orientation towards the μOR interior; GF3) the other pole of ligands is directed towards the receptor outlet; GF4) the aromatic anilide ring penetrates the subpocket formed by TM3, TM4, ECL1 and ECL2; GF5) the 4-axial substituent (if present) is directed towards W318. Except for the ionic interaction with D147, the majority of fentanyl-μOR contacts is hydrophobic. Interestingly, it was possible to find nonlinear relationships between the binding affinity and the volume of the N-chain and/or anilide’s aromatic ring. This kind of relationships is consistent with the apolar character of interactions involved in ligand–receptor binding. The affinity reaches the optimum for medium size while it decreases for both large and small substituents. Additionally, a linear correlation between the volumes and the average dihedral angles of W293 and W133 was revealed by the molecular dynamics study. This seems particularly important, as the W293 residue is involved in the activation processes. Further, the Y326 (OH) and D147 (Cγ) distance found in the simulations also depends on the ligands’ size. In contrast, neither RMSF measures nor D114/Y336 hydrations show significant structure-based correlations. They also do not differentiate studied fentanyl derivatives. Eventually, none of 14 popular scoring functions yielded a significant correlation between the predicted and observed affinity data (R < 0.30, n = 28).

Highlights

  • Fentanyl (N-phenyl-N-[1-(2-phenylethyl)piperidin-4-yl]propanamide) is a very strong agonist of μ-opioid receptor and as such it is one of the most important analgesics used in medicine

  • For one derivative (3”,4”-dimethoxy-para-trifluoromethylfentanyl, F08), the IC50 value could not be established as the compound did not exhibit any detectable radioligand displacement at 1000 nM

  • We shall discuss them with respect to several lines of structural variation seen in the derivatives under the study

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Summary

Introduction

Fentanyl (N-phenyl-N-[1-(2-phenylethyl)piperidin-4-yl]propanamide) is a very strong agonist of μ-opioid receptor (μOR) and as such it is one of the most important analgesics used in medicine. Being highly lipophilic, it is 50–125 times more potent than morphine and it has a faster onset of action [1]. This research played a key role in developing our knowledge on structure–activity relationships (SAR) for opioid analgesics. It resulted in a bunch of very interesting and useful compounds [3], including extremely potent derivatives such as ohmefentanyl and carfentanil, or ultra-short acting opioids as remifentanil or alfentanil. Further interesting accounts can be found in other recent papers [2,4]

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