title: Noise assisted excitation energy transfer in a linear model of a selectivity filter backbone strand.
abstract: In this paper, we investigate the effect of noise and disorder on the efficiency of excitation energy transfer (EET) in a N = 5 sites linear chain with 'static' dipole-dipole couplings. In fact, here, the disordered chain is a toy model for one strand of the selectivity filter backbone in ion channels. It has recently been discussed that the presence of quantum coherence in the selectivity filter is possible and can play a role in mediating ion-conduction and ion-selectivity in the selectivity filter. The question is 'how a quantum coherence can be effective in such structures while the environment of the channel is dephasing (i.e. noisy)?' Basically, we expect that the presence of the noise should have a destructive effect in the quantum transport. In fact, we show that such expectation is valid for ordered chains. However, our results indicate that introducing the dephasing in the disordered chains leads to the weakening of the localization effects, arising from the multiple back-scatterings due to the randomness, and then increases the efficiency of quantum energy transfer. Thus, the presence of noise is crucial for the enhancement of EET efficiency in disordered chains. We also show that the contribution of both classical and quantum mechanical effects are required to improve the speed of energy transfer along the chain. Our analysis may help for better understanding of fast and efficient functioning of the selectivity filters in ion channels.
authors.affiliation: Department of Physics, Isfahan University of Technology, Isfahan 84156-83111, Iran.
authors.forename: Hassan
authors.initials: H
authors.lastname: Bassereh
authors.forename: Vahid
authors.initials: V
authors.lastname: Salari
authors.forename: Farhad
authors.initials: F
authors.lastname: Shahbazi
mesh_terms: D004735:Energy Transfer; D006801:Humans; D007473:Ion Channels / Q000737:chemistry* / Q000502:physiology; D016014:Linear Models; D008390:Markov Chains; D010446:Peptide Fragments / Q000737:chemistry*; D011789:Quantum Theory
chemical_list: D007473:Ion Channels; D010446:Peptide Fragments