A.V. Savelyev - Senior Research Scientist, Head the Patent Agency «©Uniquely Honest Patenting» (Moscow). E-mail: gmkristo@rambler.ru

In this paper of the author\'s results of several years - research on the detailed modeling of nano-processes of the nervous system at the cellular and molecular level is contained. It concerns of wave propagation of changes the excitability threshold of neuronal membranes in neural networks, and determine the nature of this phenomenon in nano-size level. Characteristics connection of such a nature waves with ahead of the changes in the threshold of the next fiber, relative to the propagating spike is proven. Difference between the open (MvAP) and closed KirBac1.1 (KcsA) potassium channel, which is the internal geometry of protein helices that form the lining of the pore are shown and simulated. M and S-helix in the case of lateral opening channel have a break, because the nanostructural contain weakened middle section between two heavy duty C and N-terminal. Spiral fracture is localized in areas with glycine residues, as we know, highly conserved in potassium channels. They, just, and act as a flexible hinge due to increased conformational flexibility, providing a spiral fracture in these places. In potentsial-sensitive channel voltage-sensing S4 segment is adjacent to the outer helix S5, exercising its slope and, therefore, the subsequent break in the inner helix. Electrogenic and electro-efficiency threshold waves and their possible non-electromagnetic nature, namely, mechanical or mechanical and chemical is shown. Characteristics connection just such a nature waves ahead of the changes in the threshold of the next fiber, relative to the propagating spike is proved. Simulations showed the possibility of influences, and, cross-cutting nature, through the electromagnetic field of the propagating spike, which is powerful enough electrical artifact. Simulation results of neuronal membrane nano-processes in the level of information macromodels are presented, the possibility of playing their mechanisms at the macro level and compatibility of nano- and neural information technology is shown. This work was supported financially by RFH in grant № 15-03-00519а «Post-non-classic paradigm of artificial intellect».

 

1. Savelev A.V. Nanoehffekty v molekuljarnykh sharnirakh ionnykh kanalov kletochnojj membrany nejjronov i nejjrokom­pjuternoe modelirovanie prirody porogovykh voln // Nejjrokompjutery: razrabotka, primenenie. 2015. № 1. S. 1-11.http://www.radiotec.ru/catalog.php?cat=jr7&itm=2015-1
2. Protein Data Bankhttp://www.rcsb.org/pdb/explore/explore.do-structureId=1LDF