Moses G Udoisoh, Olusola Olaitan Adegoke, Amy Lebua James
{"title":"Ultrafast terahertz-induced torque disruption of fentanyl's μ-opioid receptor binding for precision overdose reversal.","authors":"Moses G Udoisoh, Olusola Olaitan Adegoke, Amy Lebua James","doi":"10.1007/s00894-025-06447-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>This study establishes a quantum-biophysical framework for non-invasive opioid overdose reversal by demonstrating ultrafast terahertz (THz) torque-mediated disruption of fentanyl-μ-opioid receptor (μOR) binding. By targeting the vibrational modes of the fentanyl-μOR complex with resonant THz pulses (1-1.5 THz, ≥ 100 kV/cm), the study examines two key binding configurations: the Asp147 salt bridge (D147) and His297 hydrogen bond (H297). The model reveals that THz-induced torque reduces the dissociation barrier by 3.2-3.8 kcal/mol through mechanical disruption of the N-H⁺···O⁻ interaction, achieving 50% unbinding within 1.2 ps at optimal frequencies. The H297 configuration dissociates 40% faster than D147, indicating a pharmacologically preferable site for intervention. A sigmoidal dose-response is observed in the 100-150 kV/cm range, enabling > 90% dissociation efficacy under non-thermal conditions. These findings offer a novel electromagnetic approach for modulating opioid pharmacodynamics and inform the development of receptor-targeted antidotes via precision bioelectromagnetic strategies. While this study demonstrates the theoretical feasibility of THz-induced dissociation, future experimental work is needed to address translational challenges such as tissue penetration and biological specificity.</p><p><strong>Methods: </strong>The study employs a quantum-classical hybrid framework combining time-dependent Schrödinger equation simulations with classical electrodynamics. Fentanyl is modeled as a confined asymmetric rotor interacting with a µOR-like potential landscape under circularly polarized THz radiation. Quantum torque is derived from angular momentum operators coupled to the electric field vector. Site-specific binding configurations (D147 and H297) are simulated with field-driven vibrational excitation and potential energy surface deformation. Dissociation dynamics and barrier modulation are quantified using Fermi's Golden Rule and time-evolved wavepacket propagation. Numerical computations were performed in Wolfram Mathematica 13.1, with molecular input parameters validated against DFT-based dipole moments, mass tensors, and force-field data extracted from experimental literature.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 8","pages":"221"},"PeriodicalIF":2.5000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00894-025-06447-z","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context: This study establishes a quantum-biophysical framework for non-invasive opioid overdose reversal by demonstrating ultrafast terahertz (THz) torque-mediated disruption of fentanyl-μ-opioid receptor (μOR) binding. By targeting the vibrational modes of the fentanyl-μOR complex with resonant THz pulses (1-1.5 THz, ≥ 100 kV/cm), the study examines two key binding configurations: the Asp147 salt bridge (D147) and His297 hydrogen bond (H297). The model reveals that THz-induced torque reduces the dissociation barrier by 3.2-3.8 kcal/mol through mechanical disruption of the N-H⁺···O⁻ interaction, achieving 50% unbinding within 1.2 ps at optimal frequencies. The H297 configuration dissociates 40% faster than D147, indicating a pharmacologically preferable site for intervention. A sigmoidal dose-response is observed in the 100-150 kV/cm range, enabling > 90% dissociation efficacy under non-thermal conditions. These findings offer a novel electromagnetic approach for modulating opioid pharmacodynamics and inform the development of receptor-targeted antidotes via precision bioelectromagnetic strategies. While this study demonstrates the theoretical feasibility of THz-induced dissociation, future experimental work is needed to address translational challenges such as tissue penetration and biological specificity.
Methods: The study employs a quantum-classical hybrid framework combining time-dependent Schrödinger equation simulations with classical electrodynamics. Fentanyl is modeled as a confined asymmetric rotor interacting with a µOR-like potential landscape under circularly polarized THz radiation. Quantum torque is derived from angular momentum operators coupled to the electric field vector. Site-specific binding configurations (D147 and H297) are simulated with field-driven vibrational excitation and potential energy surface deformation. Dissociation dynamics and barrier modulation are quantified using Fermi's Golden Rule and time-evolved wavepacket propagation. Numerical computations were performed in Wolfram Mathematica 13.1, with molecular input parameters validated against DFT-based dipole moments, mass tensors, and force-field data extracted from experimental literature.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.