Murugan, Nirosha J.2017-05-082017-05-082017-03-31https://laurentian.scholaris.ca/handle/10219/2738From the assembly of intricate biomolecules to the construction of tissues and organs from homogenous embryonic cells, patterns permeate throughout biological systems. Whereas molecules govern the multiform signalling pathways necessary to direct anatomy and physiology, biophysical correlates are inextricably paired to each and every chemical reaction – yielding a constant interplay between matter and energy. Electromagnetic energies represented as propagating photons or electromagnetic fields have shown to contain complex information that is specific to their paired molecular events. The central aim of this thesis was to determine whether these biophysical signatures or patterns can be obtained from biomolecules and subsequently be used in lieu of the chemical itself within a molecular cascade to elicit desired effects within biological systems. The findings presented here show that using a novel bioinformatics tool, namely the Cosic Resonant Recognition Model (RRM), biomolecules (proteins) can recognize their particular targets and vice versa by dynamic electromagnetic resonance. We also show using fundamental units of energies that this dynamic electromagnetic resonance is within the visible spectrum and can be used to define molecular pathways such as the ERK-MAP pathway, or distinctive viral proteins that mark certain pathogens such as Zika or Ebola viruses. Further findings presented herein show that these electromagnetic patterns derived from biomolecules can be detected using modern technologies such as photomultiplier tubes, and as every signature is unique to that system, can be used to identify insidious systems such as cancers from healthy populations. Furthermore, it is now possible to capture these unique electromagnetic signatures of biomolecules, parse the signals from the noise, and re-apply these patterns back onto systems to elicit effects such as altered proliferation rates of cancers or regenerative systems. The series of theoretical models and investigations outlined here clearly profiles the predominant electronic nature of the living matrix and its constituents, which lays the groundwork for reshaping our knowledge of cellular mechanisms that ultimately drive physiology, medicine and the development of effective diagnostic, preventative or therapeutic tools.enCosic Resonance Recognition ModelBiophotonElectromagnetic fieldsSpectral analysisPhototherapyCancerPlanariaThesis