Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment

Murugan, Nirosha J.; Karbowski, Lukasz M.; Persinger, Michael A.

doi:10.4236/ojbiphy.2015.51003

Cited by 16 publications

(23 citation statements)

References 36 publications

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“…The concept has been also experimentally tested by predicting the electromagnetic frequencies for L-Lactate Dehydrogenase [5], where by radiating L-Lactate Dehydrogenase with predicted calculated electromagnetic frequencies the significant change in enzyme activity was achieved. The concept has also been tested independently on experimental measurements of photon emission from dying melanoma cells [9], on photon emission from lethal and non-lethal Ebola strains [10], as well as on classic signaling pathway, JAK-STAT, traditionally composed of nine sequential protein interactions [11].…”

Section: Resonant Recognition Modelmentioning

confidence: 99%

The treatment of crigler-najjar syndrome by blue light as explained by resonant recognition model

Ćosić

Cosic²

2016

EPJ Nonlinear Biomed Phys

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Background: The Crigler-Najjar syndrome is extremely rare genetic disease, that is manifested by severe jaundicedue to lack of UDP glucuronosyltransferase 1-A1 (UDP) activity. The main treatment is to use the blue lightphototherapy, during the prolong time, during the day every day. Methods: Here, we analyzed human UDP's correlation with the blue light phototherapy using the nonlinear physico-mathematical model: Resonant Recognition Model (RRM), which proposes that protein activation is electromagnetic in nature within the frequency range of infrared and visible light. Results: We found that human UDP's are characterized by specific RRM frequency that is related to the blue light radiation. This could be the explicit explanation, why phototherapy with the blue light could replace lack of UDP activity. Conclusion: However, the blue light treatment is less effective with ageing, due to decrease of the blue lightpenetration through skin. Thus, there is a need for alternative treatments. Here, we propose to design de-novopeptide, using this specific RRM frequency. Such peptide, according to RRM, is proposed to have the samebiological function as UDP glucuronosyltransferase 1-A1 and thus can be used for alternative treatment of Crigler-Najjar syndrome.

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Section: Resonant Recognition Modelmentioning

confidence: 99%

The treatment of crigler-najjar syndrome by blue light as explained by resonant recognition model

Ćosić

Cosic²

2016

EPJ Nonlinear Biomed Phys

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“…For this velocity and the distance between amino acids in a protein molecule, which is 3.8 Å, the frequency range for protein interactions was estimated to be in the range of 10 12 Hz up to 10 15 Hz (Cosic's scenario). These computational predictions were found to be related to biological function of the macromolecules by comparison with a number of experimental measurements [9,10], as well as by direct experimental endorsement [13][14][15][16]18].…”

Section: Resonant Recognition Modelmentioning

confidence: 93%

“…The RRM approach is based on physical-mathematical description that has found growing support along the last 30 years [12][13][14][15][16]. According to the RRM, we propose that protein recognition during parasite invasion takes place through exchange of electromagnetic radiation at very specific frequencies.…”

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confidence: 99%

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Possibility to interfere with malaria parasite activity using specific electromagnetic frequencies

Ćosić

Caceres

Cosic³

2015

EPJ Nonlinear Biomed Phys

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The absence of clear breakthrough in malaria combat could support the need for different ways of tackling the disease that are substantiated by conceptually new bases. The main idea of this research is to analyze possibility to interfere with malaria parasite activity using specific resonant electromagnetic frequencies. Although the idea to combat malaria infection with electromagnetic frequencies is not new, we will here present unique approach, so called Resonant Recognition Model (RRM) to specifically identify electromagnetic frequencies mostly important for interference with malaria infection. The RRM is calculating periodicities (frequencies) in distribution of free electron energies along protein sequence which are relevant for protein function/interaction. When charge transfer through protein backbone is considered then it can produce electromagnetic radiation of specific frequency depending on charge velocity. Ten groups of proteins relevant for Plasmodium interactions were analyzed. Each of ten groups of proteins have at least one significant characteristic frequency peak at one of the following RRM frequencies: f = 0.002, f = 0.11 or f = 0.34. This suggests that the diversity of proteins participating in Plasmodium invasion could be represented with only three RRM frequencies. Depending on the charge transfer mechanism (velocity) along the protein, different electromagnetic resonant frequencies are expected. Based on presented results, we suggest that the RRM frequency of f = 0.002 (related to 2-5THz), to be regarded as crucial for Plasmodium infectivity and possibly for interfering with invasion process. Although this far infrared electromagnetic frequency cannot penetrate human body more than down to 4 cm, such radiation can be of great help in combating Plasmodium, since a sizeable part of parasite remain in the skin for hours after the mosquito bite. In addition the specific RRM frequency is capable to resonantly initiate a whole cascade of protein-protein (DNA, RNA) interactions directed to the specific biological activity which could contra-act Plasmodium infection.

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“…These transport vehicles are established and composed in the Golgi apparatus. There are excellent reviews on the intracellular transport and their components (28)(29)(30)(31)(32)(33). Only very few aspects of these processes will be briefly delineated below:…”

Section: Em-interactions Of Macromolecules and The Intracellular Actimentioning

confidence: 99%

Hypothesis on interactions of macromolecules based on molecular vibration patterns in cells and tissues

Jaross

2018

Front Biosci

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The molecular vibration patterns of structure-forming macromolecules in the living cell create very specific electromagnetic frequency patterns which might be used for information on spatial position in the three-dimensional structure as well as the chemical characteristics. Chemical change of a molecule results in a change of the vibration pattern and thus in a change of the emitted electromagnetic frequency pattern. These patterns have to be received by proteins responsible for the necessary interactions and functions. Proteins can function as resonators for frequencies in the range of 1013-1015 Hz. The individual frequency pattern is defined by the amino acid sequence and the polarity of every amino acid caused by their functional groups. If the arriving electromagnetic signal pattern and the emitted pattern of the absorbing protein are matched in relevant parts and in opposite phase, photon energy in the characteristic frequencies can be transferred resulting in a conformational change of that molecule and respectively in an increase of its specific activity. The electromagnetic radiation is very weak. The possibilities to overcome intracellular distances are shown. The motor-driven directed transport of macromolecules starts in the Golgi apparatus. The relevance of molecular interactions based on this signaling for the induction and navigation in the intracellular transport is discussed.

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Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment

Cited by 16 publications

References 36 publications

The treatment of crigler-najjar syndrome by blue light as explained by resonant recognition model

The treatment of crigler-najjar syndrome by blue light as explained by resonant recognition model

Possibility to interfere with malaria parasite activity using specific electromagnetic frequencies

Hypothesis on interactions of macromolecules based on molecular vibration patterns in cells and tissues

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