摘要翻译：
我们首次提出了一种复杂网络方法来研究单个蛋白质器件的电学性质。特别地，我们考虑了一种基于G蛋白偶联受体的电子纳米传感器。通过采用粗颗粒描述，蛋白质被建模为一个由基本阻抗组成的复杂网络。每个氨基酸的α-碳原子的位置作为网络的节点。假定氨基酸之间是电相互作用的。因此，在给定距离内的空间相邻的任意一对节点之间绘制链路，并且基本阻抗与每个链路相关联。此阻抗值与氨基酸对的物理和化学性质以及它们的相对距离有关。因此，由捕获配体引起的受体构象变化转化为其电学性质的变化。模拟不同物理效应的网络基本阻抗值的随机波动也被考虑在内。给出并讨论了不同模型参数下网络阻抗谱及其涨落的初步结果。
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英文标题：
《Fluctuations of Complex Networks: Electrical Properties of Single
  Protein Nanodevices》
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作者：
C. Pennetta, V. Akimov, E. Alfinito, L. Reggiani and G. Gomila
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最新提交年份：
2004
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Molecular Networks        分子网络
分类描述：Gene regulation, signal transduction, proteomics, metabolomics, gene and enzymatic networks
基因调控、信号转导、蛋白质组学、代谢组学、基因和酶网络
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一级分类：Physics        物理学
二级分类：Other Condensed Matter        其他凝聚态物质
分类描述：Work in condensed matter that does not fit into the other cond-mat classifications
在不适合其他cond-mat分类的凝聚态物质中工作
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一级分类：Physics        物理学
二级分类：Biological Physics        生物物理学
分类描述：Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象（量子生物物理）、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  We present for the first time a complex network approach to the study of the electrical properties of single protein devices. In particular, we consider an electronic nanobiosensor based on a G-protein coupled receptor. By adopting a coarse grain description, the protein is modeled as a complex network of elementary impedances. The positions of the alpha-carbon atoms of each amino acid are taken as the nodes of the network. The amino acids are assumed to interact electrically among them. Consequently, a link is drawn between any pair of nodes neighboring in space within a given distance and an elementary impedance is associated with each link. The value of this impedance can be related to the physical and chemical properties of the amino acid pair and to their relative distance. Accordingly, the conformational changes of the receptor induced by the capture of the ligand, are translated into a variation of its electrical properties. Stochastic fluctuations in the value of the elementary impedances of the network, which mimic different physical effects, have also been considered. Preliminary results concerning the impedance spectrum of the network and its fluctuations are presented and discussed for different values of the model parameters.
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PDF链接：
https://arxiv.org/pdf/q-bio/0406018