category
bioRxiv
date
Mar 1, 2026
slug
status
Published
summary
通过全原子分子动力学模拟、量子化学计算和自旋弛豫理论,首次系统阐明了工程化蛋白中结构-功能关系对量子传感性能的影响机制,发现表面区域局部重排而非整体结构破坏是增强灵敏度的关键,并建立基于能量间隙和几何构型的传感器设计规则。
tags
合成生物学
蛋白质组学
type
Post
📄 原文题目
Revealing properties for enhanced quantum sensing in engineered proteins
🔗 原文链接
💡 AI 核心解读
通过全原子分子动力学模拟、量子化学计算和自旋弛豫理论,首次系统阐明了工程化蛋白中结构-功能关系对量子传感性能的影响机制,发现表面区域局部重排而非整体结构破坏是增强灵敏度的关键,并建立基于能量间隙和几何构型的传感器设计规则。
📝 英文原版摘要
Protein-based quantum sensors provide atomic-level sensitivity and precise measurements of local environments, where quantum-enabled magnetic detection can be linked to an optical readout of flavin radical pair photochemistry. Yet, the structural basis for the differing magnetosensitivities of individual proteins is still unclear, particularly regarding the respective roles of charge separation termination, complex stability, and spin relaxation. In this work, we employ all-atom molecular dynamics, quantum chemical energy calculations, Marcus-type free energy profiles, and spin relaxation theory to connect structure, electrostatics, hydration, and dynamics in AsLOV2-derived variants. Molecular dynamics simulations show that the LOV2 fold and FMN-binding core are preserved in all constructs, with enhanced flexibility restricted to surface regions, pointing to local reorganization of the donor microenvironment rather than a global loss of structural integrity. Analysis of dipolar couplings indeed demonstrates variant-specific, anisotropic inter-spin arrangements and substantially slower dephasing of the dipolar tensor, with correlation times increasing from a few nanoseconds to tens of nanoseconds. Energy gap calculations indicate strongly exergonic back electron transfer in all variants, while geometric considerations influence the differences in recombination rates. Collectively, these findings establish a mechanistic design rule for engineering robust protein-based quantum sensors with extended lifetimes and reduced relaxation rates.
- 作者:NotionNext
- 链接:https://tangly1024.com/article/31748bd6-1f96-8122-9a4d-f7f93025addc
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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