Literature DB >> 21730695

A network model to correlate conformational change and the impedance spectrum of single proteins.

Eleonora Alfinito1, Cecilia Pennetta, Lino Reggiani.   

Abstract

Integrated nanodevices based on proteins or biomolecules are attracting increasing interest in today's research. In fact, it has been shown that proteins such as azurin and bacteriorhodopsin manifest some electrical properties that are promising for the development of active components of molecular electronic devices. Here we focus on two relevant kinds of protein: bovine rhodopsin, prototype of G-protein-coupled-receptor (GPCR) proteins, and the enzyme acetylcholinesterase (AChE), whose inhibition is one of the most qualified treatments of Alzheimer's disease. Both these proteins exert their function starting with a conformational change of their native structure. Our guess is that such a change should be accompanied with a detectable variation of their electrical properties. To investigate this conjecture, we present an impedance network model of proteins, able to estimate the different impedance spectra associated with the different configurations. The distinct types of conformational change of rhodopsin and AChE agree with their dissimilar electrical responses. In particular, for rhodopsin the model predicts variations of the impedance spectra up to about 30%, while for AChE the same variations are limited to about 10%, which supports the existence of a dynamical equilibrium between its native and complexed states.

Entities:  

Year:  2008        PMID: 21730695     DOI: 10.1088/0957-4484/19/6/065202

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  2 in total

1.  Microscopic modeling of charge transport in sensing proteins.

Authors:  Lino Reggiani; Jean-Francois Millithaler; Cecilia Pennetta
Journal:  Nanoscale Res Lett       Date:  2012-06-22       Impact factor: 4.703

2.  Ligands binding and molecular simulation: the potential investigation of a biosensor based on an insect odorant binding protein.

Authors:  Xin Yi; Yanbo Zhang; Peidan Wang; Jiangwei Qi; Meiying Hu; Guohua Zhong
Journal:  Int J Biol Sci       Date:  2015-01-01       Impact factor: 6.580

  2 in total

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