scholarly journals Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis

Molecules ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 740 ◽  
Author(s):  
Piotr Lipiński ◽  
Piotr Kosson ◽  
Joanna Matalińska ◽  
Piotr Roszkowski ◽  
Zbigniew Czarnocki ◽  
...  

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).

2020 ◽  
Vol 21 (13) ◽  
pp. 4699 ◽  
Author(s):  
Zhennan Zhao ◽  
Tingting Huang ◽  
Jiazhong Li

Opioid analgesics such as morphine have indispensable roles in analgesia. However, morphine use can elicit side effects such as respiratory depression and constipation. It has been reported that G protein-biased agonists as substitutes for classic opioid agonists can alleviate (or even eliminate) these side effects. The compounds PZM21 and TRV130 could be such alternatives. Nevertheless, there are controversies regarding the efficacy and G protein-biased ability of PZM21. To demonstrate a rationale for the reduced biasing agonism of PZM21 compared with that of TRV130 at the molecular level, we undertook a long-term molecular dynamics simulation of the μ-opioid receptor (MOR) upon the binding of three ligands: morphine, TRV130, and PZM21. We found that the delayed movement of the W2936.48 (Ballesteros–Weinstein numbering) side chain was a factor determining the dose-dependent agonism of PZM21. Differences in conformational changes of W3187.35, Y3267.43, and Y3367.53 in PZM21 and TRV130 explained the observed differences in bias between these ligands. The extent of water movements across the receptor channel was correlated with analgesic effects. Taken together, these data suggest that the observed differences in conformational changes of the studied MOR–ligand complexes point to the low-potency and lower bias effects of PZM21 compared with the other two ligands, and they lay the foundation for the development of G protein-biased agonists.


2018 ◽  
Vol 20 (3) ◽  
pp. 1724-1741 ◽  
Author(s):  
Safaa Sader ◽  
Kumar Anant ◽  
Chun Wu

IBNtxA, a morphine derivative, is 10-fold more potent and has a better safety profile than morphine.


2018 ◽  
Vol 20 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Atsushi Hirano ◽  
Kentaro Shiraki ◽  
Tomoshi Kameda

Multimodal or mixed-mode chromatography can be used to separate various proteins, including antibodies. The separation quality and efficiency have been improved by the addition of solutes, especially arginine. This review summarizes the mechanism underlying the effects of arginine on protein elution in multimodal chromatography with neutral, anionic or cationic resin ligands; the mechanism has been investigated using experiments and molecular dynamics simulations. Arginine is effective in facilitating protein elution compared to salts and protein denaturants such as guanidine and urea. The unique elution effect of arginine can be explained by the interplay among arginine, proteins and the resin ligands. Arginine exhibits multiple binding modes for the ligands and further affinity for protein aromatic residues through its guanidinium group. These properties make arginine versatile for protein elution in multimodal chromatography. Taking into account that arginine is an aggregation suppressor for proteins but not a protein denaturant, arginine is a promising protein-eluting reagent for multimodal chromatography.


ChemBioChem ◽  
2005 ◽  
Vol 6 (5) ◽  
pp. 853-859 ◽  
Author(s):  
Yan Zhang ◽  
Yuk Y. Sham ◽  
Ramkumar Rajamani ◽  
Jiali Gao ◽  
Philip S. Portoghese

2015 ◽  
Vol 13 (10) ◽  
pp. 3070-3085 ◽  
Author(s):  
Miguel M. Santos ◽  
Igor Marques ◽  
Sílvia Carvalho ◽  
Cristina Moiteiro ◽  
Vítor Félix

The binding affinity of a dichlorocalix[2]arene[2]triazine based bis-urea azamacrocycle was investigated towards a wide range of bio-relevant dicarboxylate anions by a combination of 1H NMR titrations in CDCl3 and molecular dynamics simulations.


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