Ultrafast terahertz-induced torque disruption of fentanyl's μ-opioid receptor binding for precision overdose reversal.

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Moses G Udoisoh, Olusola Olaitan Adegoke, Amy Lebua James
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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.

超快太赫兹诱导的芬太尼μ-阿片受体结合的扭矩破坏用于精确过量逆转。
背景:本研究通过展示超快太赫兹(THz)扭矩介导的芬太尼-μ-阿片受体(μOR)结合的破坏,建立了非侵入性阿片类药物过量逆转的量子生物物理框架。通过共振太赫兹脉冲(1 ~ 1.5太赫兹,≥100 kV/cm)瞄准芬太尼-μOR配合物的振动模式,研究了两种关键的结合构型:Asp147盐桥(D147)和His297氢键(H297)。该模型显示,太赫兹诱导的扭矩通过机械破坏N-H⁺···O -⁻相互作用,降低了3.2-3.8 kcal/mol的解离势垒,在最佳频率下,在1.2 ps内实现50%的解离。H297结构的解离速度比D147快40%,表明在药理学上更适合进行干预。在100-150 kV/cm范围内观察到s型剂量响应,使>在非热条件下的解离效率达到90%。这些发现为调节阿片类药物的药效学提供了一种新的电磁方法,并通过精确的生物电磁策略为受体靶向解毒剂的开发提供了信息。虽然这项研究证明了太赫兹诱导解离的理论可行性,但未来的实验工作需要解决组织渗透和生物特异性等转化挑战。方法:采用时间相关Schrödinger方程模拟与经典电动力学相结合的量子-经典混合框架。芬太尼被建模为在圆极化太赫兹辐射下与μ or样电位景观相互作用的受限非对称转子。量子转矩是由角动量算符耦合到电场矢量导出的。利用场驱动振动激励和势能表面变形模拟了特定位点的结合构型(D147和H297)。解离动力学和势垒调制使用费米的黄金法则和时间演化波包传播量化。在Wolfram Mathematica 13.1中进行数值计算,并根据实验文献中提取的基于dft的偶极矩、质量张量和力场数据验证分子输入参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
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.
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