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Title: Evaluation of polyanionic cyclodextrins as high affinity binding scaffolds for fentanyl

Abstract

Abstract Cyclodextrins (CDs) have been previously shown to display modest equilibrium binding affinities ( K a  ~ 100–200 M -1 ) for the synthetic opioid analgesic fentanyl. In this work, we describe the synthesis of new CDs possessing extended thioalkylcarboxyl or thioalkylhydroxyl moieties and assess their binding affinity towards fentanyl hydrochloride. The optimal CD studied displays a remarkable affinity for the opioid of K a  = 66,500 M −1 , the largest value reported for such an inclusion complex to date. One dimensional 1 H Nuclear Magnetic Resonance (NMR) as well as Rotational Frame Overhauser Spectroscopy (2D-ROESY) experiments supported by molecular dynamics (MD) simulations suggest an unexpected binding behavior, with fentanyl able to bind the CD interior in one of two distinct orientations. Binding energies derived from the MD simulations work correlate strongly with NMR-derived affinities highlighting its utility as a predictive tool for CD candidate optimization. The performance of these host molecules portends their utility as platforms for medical countermeasures for opioid exposure, as biosensors, and in other forensic science applications.

Authors:
ORCiD logo; ; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1958043
Alternate Identifier(s):
OSTI ID: 2005082
Report Number(s):
LLNL-JRNL-844442
Journal ID: ISSN 2045-2322; 2680; PII: 29662
Grant/Contract Number:  
14-ERD-048; AC52-07NA27344
Resource Type:
Published Article
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Name: Scientific Reports Journal Volume: 13 Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United Kingdom
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Mayer, Brian P., Kennedy, Daniel J., Lau, Edmond Y., and Valdez, Carlos A. Evaluation of polyanionic cyclodextrins as high affinity binding scaffolds for fentanyl. United Kingdom: N. p., 2023. Web. doi:10.1038/s41598-023-29662-1.
Mayer, Brian P., Kennedy, Daniel J., Lau, Edmond Y., & Valdez, Carlos A. Evaluation of polyanionic cyclodextrins as high affinity binding scaffolds for fentanyl. United Kingdom. https://doi.org/10.1038/s41598-023-29662-1
Mayer, Brian P., Kennedy, Daniel J., Lau, Edmond Y., and Valdez, Carlos A. Wed . "Evaluation of polyanionic cyclodextrins as high affinity binding scaffolds for fentanyl". United Kingdom. https://doi.org/10.1038/s41598-023-29662-1.
@article{osti_1958043,
title = {Evaluation of polyanionic cyclodextrins as high affinity binding scaffolds for fentanyl},
author = {Mayer, Brian P. and Kennedy, Daniel J. and Lau, Edmond Y. and Valdez, Carlos A.},
abstractNote = {Abstract Cyclodextrins (CDs) have been previously shown to display modest equilibrium binding affinities ( K a  ~ 100–200 M -1 ) for the synthetic opioid analgesic fentanyl. In this work, we describe the synthesis of new CDs possessing extended thioalkylcarboxyl or thioalkylhydroxyl moieties and assess their binding affinity towards fentanyl hydrochloride. The optimal CD studied displays a remarkable affinity for the opioid of K a  = 66,500 M −1 , the largest value reported for such an inclusion complex to date. One dimensional 1 H Nuclear Magnetic Resonance (NMR) as well as Rotational Frame Overhauser Spectroscopy (2D-ROESY) experiments supported by molecular dynamics (MD) simulations suggest an unexpected binding behavior, with fentanyl able to bind the CD interior in one of two distinct orientations. Binding energies derived from the MD simulations work correlate strongly with NMR-derived affinities highlighting its utility as a predictive tool for CD candidate optimization. The performance of these host molecules portends their utility as platforms for medical countermeasures for opioid exposure, as biosensors, and in other forensic science applications.},
doi = {10.1038/s41598-023-29662-1},
journal = {Scientific Reports},
number = 1,
volume = 13,
place = {United Kingdom},
year = {Wed Feb 15 00:00:00 EST 2023},
month = {Wed Feb 15 00:00:00 EST 2023}
}

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