Potential Energy Function for Fentanyl-Based Opioid Pain Killers
Publication type: Journal Article
Publication date: 2020-06-03
scimago Q1
wos Q1
SJR: 1.467
CiteScore: 9.8
Impact factor: 5.3
ISSN: 15499596, 1549960X
PubMed ID:
32491854
General Chemistry
Computer Science Applications
General Chemical Engineering
Library and Information Sciences
Abstract
Opioids are molecules whose binding to specialized G-Protein Coupled Receptors (GPCRs) triggers a signaling cascade that leads to the downregulation of pain pathways. Binding of an opioid to the membrane-embedded GPCR occurs when the opioid molecule is protonated, which provides a potential strategy to design nontoxic opioids that are protonated and bind to the GPCR only at the low pH of injured or inflamed tissue. Excellent model systems to study protonation-dependent binding of opioids to GPCRs are fentanyl, which is protonated and binds to the GPCR at both physiological and low pH, and the fluorinated fentanyl derivative NFEPP, which is protonated and binds to the GPCR only at low pH. The molecular mechanisms of fentanyl and NFEPP binding to the GPCR are largely unknown. To enable atomistic studies of opioid binding to GPCRs, we have carried out extensive quantum mechanical and classical mechanical computations to derive a potential energy function for fentanyl and NFEPP and present force field parameters for both opioid molecules. We find that fluorination alters the electronic ground state properties of fentanyl. As a consequence, fentanyl and NFEPP have distinct torsional and electrostatic properties likely to impact how they bind to receptors.
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Total citations:
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Citations from 2024:
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(25%)
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GOST
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Lešnik S. et al. Potential Energy Function for Fentanyl-Based Opioid Pain Killers // Journal of Chemical Information and Modeling. 2020. Vol. 60. No. 7. pp. 3566-3576.
GOST all authors (up to 50)
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Lešnik S., Hodošček M., Bren U., Stein C., Bondar A. Potential Energy Function for Fentanyl-Based Opioid Pain Killers // Journal of Chemical Information and Modeling. 2020. Vol. 60. No. 7. pp. 3566-3576.
Cite this
RIS
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TY - JOUR
DO - 10.1021/acs.jcim.0c00185
UR - https://doi.org/10.1021/acs.jcim.0c00185
TI - Potential Energy Function for Fentanyl-Based Opioid Pain Killers
T2 - Journal of Chemical Information and Modeling
AU - Lešnik, Samo
AU - Hodošček, Milan
AU - Bren, Urban
AU - Stein, Christoph
AU - Bondar, Ana-Nicoleta
PY - 2020
DA - 2020/06/03
PB - American Chemical Society (ACS)
SP - 3566-3576
IS - 7
VL - 60
PMID - 32491854
SN - 1549-9596
SN - 1549-960X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Lešnik,
author = {Samo Lešnik and Milan Hodošček and Urban Bren and Christoph Stein and Ana-Nicoleta Bondar},
title = {Potential Energy Function for Fentanyl-Based Opioid Pain Killers},
journal = {Journal of Chemical Information and Modeling},
year = {2020},
volume = {60},
publisher = {American Chemical Society (ACS)},
month = {jun},
url = {https://doi.org/10.1021/acs.jcim.0c00185},
number = {7},
pages = {3566--3576},
doi = {10.1021/acs.jcim.0c00185}
}
Cite this
MLA
Copy
Lešnik, Samo, et al. “Potential Energy Function for Fentanyl-Based Opioid Pain Killers.” Journal of Chemical Information and Modeling, vol. 60, no. 7, Jun. 2020, pp. 3566-3576. https://doi.org/10.1021/acs.jcim.0c00185.