Artificial Neural Networks Identify the Dynamic Organization of Microtubules and Tubulin Subjected to Electromagnetic Field

Microtubules (MTs) are cylindrical polymers of the protein tubulin, are constituents of all eukaryotic cells cytoskeleton and are involved in key cellular functions. MTs are claimed to be involved as sub-cellular information or quantum information communication systems [1][2][3]. MTs are the closest biological equivalent to the well-known carbon nanotubes (NTs) material. We evaluated some biophysical properties of MTs by means of specific physical measures of resonance and birefringence in presence of electromagnetic field, on the assumption that when tubulin and MTs show different biophysical behaviours, this should be due to the special structural properties of MTs. The experimental results highlighted a peculiar physical behaviour of MTs in comparison with tubulin. This paper presents the dynamic simulation of MT and tubulin when subjected to electromagnetic field. Their level of self-organization was evaluated using artificial neural networks. Key-Words: Microtubules, Tubulin, Nanotubes, Buckyballs, self-organization, Artificial Neural Networks, Kohonen