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Combined Spectral Resonances of Signaling Proteins’ Amino Acids in the ERK-MAP Pathway Reflect Unique Patterns that Predict Peak Photon Emissions and Universal Energies

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Abstract:

The duality of matter-energy as particle-waves was applied to the classic ERK-MAP signaling pathways between the plasma cell membrane and the nucleus and was tested with Cosic’s Resonance Recognition Method. Spectral analyses of sequences of pseudopotentials that reflect de-localized electrons of amino acids for the 11 proteins in the pathway were computed. The spectral power density of the terminal protein (cFOS) was shown to be the average of the profiles of the precursor proteins. The results demonstrated that in addition to minute successive alterations in molecular structure wave-functions and resonant patterns can also describe complex molecular signaling pathways in cells. Different pathways may be defined by a single resonance profile. The separations between the peaks of wavelengths from Cosic’s predictions for photon emissions in the visible spectrum that define the ERK-MAP pathway were within the range of 10-20 J. This quantity has been shown to be a fundamental unit of energy within the universe. The involvement of photon patterns indicates that non-local effects could accompany the serial causality (locality) assumed to connect molecular pathways.

Info:

Periodical:
International Letters of Chemistry, Physics and Astronomy (Volume 43)
Pages:
10-25
Citation:
M. A. Persinger et al., "Combined Spectral Resonances of Signaling Proteins’ Amino Acids in the ERK-MAP Pathway Reflect Unique Patterns that Predict Peak Photon Emissions and Universal Energies", International Letters of Chemistry, Physics and Astronomy, Vol. 43, pp. 10-25, 2015
Online since:
Jan 2015
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References:

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