Cargando…

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

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 uncharac...

Descripción completa

Detalles Bibliográficos
Autores principales: Lipiński, Piotr F. J., Kosson, Piotr, Matalińska, Joanna, Roszkowski, Piotr, Czarnocki, Zbigniew, Jarończyk, Małgorzata, Misicka, Aleksandra, Dobrowolski, Jan Cz., Sadlej, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412969/
https://www.ncbi.nlm.nih.gov/pubmed/30791394
http://dx.doi.org/10.3390/molecules24040740
_version_ 1783402729565061120
author Lipiński, Piotr F. J.
Kosson, Piotr
Matalińska, Joanna
Roszkowski, Piotr
Czarnocki, Zbigniew
Jarończyk, Małgorzata
Misicka, Aleksandra
Dobrowolski, Jan Cz.
Sadlej, Joanna
author_facet Lipiński, Piotr F. J.
Kosson, Piotr
Matalińska, Joanna
Roszkowski, Piotr
Czarnocki, Zbigniew
Jarończyk, Małgorzata
Misicka, Aleksandra
Dobrowolski, Jan Cz.
Sadlej, Joanna
author_sort Lipiński, Piotr F. J.
collection PubMed
description 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).
format Online
Article
Text
id pubmed-6412969
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64129692019-04-09 Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis Lipiński, Piotr F. J. Kosson, Piotr Matalińska, Joanna Roszkowski, Piotr Czarnocki, Zbigniew Jarończyk, Małgorzata Misicka, Aleksandra Dobrowolski, Jan Cz. Sadlej, Joanna Molecules Article 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). MDPI 2019-02-19 /pmc/articles/PMC6412969/ /pubmed/30791394 http://dx.doi.org/10.3390/molecules24040740 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lipiński, Piotr F. J.
Kosson, Piotr
Matalińska, Joanna
Roszkowski, Piotr
Czarnocki, Zbigniew
Jarończyk, Małgorzata
Misicka, Aleksandra
Dobrowolski, Jan Cz.
Sadlej, Joanna
Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title_full Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title_fullStr Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title_full_unstemmed Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title_short Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis
title_sort fentanyl family at the mu-opioid receptor: uniform assessment of binding and computational analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412969/
https://www.ncbi.nlm.nih.gov/pubmed/30791394
http://dx.doi.org/10.3390/molecules24040740
work_keys_str_mv AT lipinskipiotrfj fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT kossonpiotr fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT matalinskajoanna fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT roszkowskipiotr fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT czarnockizbigniew fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT jaronczykmałgorzata fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT misickaaleksandra fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT dobrowolskijancz fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis
AT sadlejjoanna fentanylfamilyatthemuopioidreceptoruniformassessmentofbindingandcomputationalanalysis