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:
- 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}
}
https://doi.org/10.1038/s41598-023-29662-1
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