Suppr超能文献

人类能否通过声子辅助隧穿识别气味?

Could humans recognize odor by phonon assisted tunneling?

作者信息

Brookes Jennifer C, Hartoutsiou Filio, Horsfield A P, Stoneham A M

机构信息

Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom.

出版信息

Phys Rev Lett. 2007 Jan 19;98(3):038101. doi: 10.1103/PhysRevLett.98.038101. Epub 2007 Jan 16.

Abstract

Our sense of smell relies on sensitive, selective atomic-scale processes that occur when a scent molecule meets specific receptors in the nose. The physical mechanisms of detection are unclear: odorant shape and size are important, but experiment shows them insufficient. One novel proposal suggests receptors are actuated by inelastic electron tunneling from a donor to an acceptor mediated by the odorant, and provides critical discrimination. We test the physical viability of this mechanism using a simple but general model. With parameter values appropriate for biomolecular systems, we find the proposal consistent both with the underlying physics and with observed features of smell. This mechanism suggests a distinct paradigm for selective molecular interactions at receptors (the swipe card model): recognition and actuation involve size and shape, but also exploit other processes.

摘要

我们的嗅觉依赖于灵敏、具有选择性的原子尺度过程,这些过程发生在气味分子与鼻子中的特定受体相遇之时。检测的物理机制尚不清楚:气味分子的形状和大小很重要,但实验表明仅靠它们并不够。一种新的观点认为,受体是由气味分子介导的从供体到受体的非弹性电子隧穿驱动的,这提供了关键的辨别能力。我们使用一个简单但通用的模型来测试这种机制在物理上的可行性。通过使用适合生物分子系统的参数值,我们发现该观点既与基础物理学原理一致,又与嗅觉的观察特征相符。这种机制为受体处的选择性分子相互作用提出了一种独特的范式(刷卡模型):识别和驱动涉及大小和形状,但也利用了其他过程。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验