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Electromagnetism & Resonant Recognition Model
The interaction between biomacromolecules is dependent of their electromagnetic resonant properties

Pablo Andueza Munduate

The Resonant Recognition Model (RRM) offers a theoretical framework connecting electromagnetic (EM) frequencies with the biological functions of proteins and DNA. By identifying specific resonant frequencies associated with molecular interactions, RRM elucidates mechanisms underlying cellular communication, systemic coherence, and energy dynamics in biological systems. ...

This section synthesizes experimental evidence and theoretical developments, highlighting RRM’s implications for understanding molecular function, disease mechanisms, and therapeutic applications.

The Resonant Recognition Model, proposed by Irena Cosic, posits that biomolecules such as proteins and DNA emit and respond to electromagnetic frequencies linked to their primary sequences. This model is based on the periodic distribution of free electron energy along these molecules, enabling resonant energy transfer that governs molecular recognition and interaction. RRM has applications across various domains, from understanding protein functionality to exploring novel therapeutic avenues.

Key Principles of the Resonant Recognition Model:

  • Fundamental Concepts:

    • Proteins and DNA exhibit electromagnetic resonance determined by their primary sequence’s electron distribution.

    • Characteristic frequencies associated with biomolecular activity reflect the biological function and interaction of these molecules (Cosic et al., 1994).

  • Mechanism of Resonance:

    • Electromagnetic fields mediate long-range molecular interactions, with resonant frequencies enabling precise molecular communication.

    • Frequencies are calculated using Electron-Ion Interaction Potential (EIIP) values, representing the energy distribution along biomolecular backbones (Faraji et al., 2022).

Experimental Evidence Supporting RRM:

  • DNA-Protein Interactions:

    • Studies show that DNA-enzyme interactions are facilitated by resonant electromagnetic frequencies, enabling interaction at significant distances (Faraji et al., 2022).

    • Bovine trypsin crystals irradiated with terahertz frequencies reveal structural changes consistent with RRM predictions.

  • Temperature and RRM:

    • Biological processes influenced by temperature, such as protein folding and enzymatic activity, align with RRM-derived frequencies (Cosic et al., 2020).

    • Specific frequencies, such as those involved in cystic fibrosis transmembrane conductance regulator (CFTR) protein repair, illustrate the model’s applicability in genetic diseases (Cosic et al., 2019).

  • Light and Biophotonic Interactions:

    • RRM demonstrates that specific wavelengths of light stimulate cellular processes such as osteoblast differentiation, supporting applications in regenerative medicine (Paspaliaris et al., 2019).

Applications of RRM in Biology and Medicine:

  • Therapeutic Innovations:

    • RRM-guided electromagnetic fields have been shown to disrupt pathogenic interactions, offering potential in treating infections and cancer.

    • Frequencies within the visible light spectrum, particularly blue and green wavelengths, effectively stimulate protein activity (Cosic et al., 2016).

  • Understanding Disease Mechanisms:

    • RRM helps identify dysfunctional frequencies in disease-associated proteins, such as BRCA mutations in cancer pathways, enabling targeted interventions (Cosic et al., 2017).

  • Exploration of Biophoton Dynamics:

    • Biophotonic emissions correlated with RRM frequencies suggest a role in cellular signaling and energy transfer mechanisms.

Implications for Biological Coherence and Communication:

  • Biomolecules resonate with environmental and endogenous electromagnetic fields, integrating systemic coherence.

  • Solitonic and photonic interactions along biomolecular backbones facilitate efficient and precise energy transfer, critical for cellular coordination (Georgiev et al., 2013).

  • Understanding RRM’s principles bridges molecular biophysics and cellular biology, elucidating coherence mechanisms.

Challenges and Future Directions:

  • Standardizing methods for calculating and validating RRM frequencies remains essential for broader acceptance.

  • Interdisciplinary research integrating physics, biology, and medicine is critical for advancing RRM-based applications.

  • Expanding the database of experimentally validated RRM frequencies will enhance predictive accuracy and therapeutic relevance.

Conclusion: The Resonant Recognition Model provides a transformative lens for understanding molecular function and systemic coherence in biology. By linking electromagnetic frequencies with biomolecular activities, RRM unveils pathways for innovative therapies, deeper insights into disease mechanisms, and advancements in regenerative medicine. Future research promises to extend the boundaries of this model, solidifying its role in the intersection of biophysics and modern biology.

Keywords: Resonant Recognition Model, electromagnetic frequencies, molecular interaction, systemic coherence, biophotons, regenerative medicine, disease mechanisms.

-Text generated by AI superficially, for more specific but also more surprising data check the tables below-

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text updated (AI generated): 23/12/2024
tables updated (Human): 27/11/2024

Endogenous Fields & Mind
EM & Resonant Recognition Model

Endogenous Electromagnetism & Resonant Recognition Model

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Publication Year (and Number of Pages)

Author(s)
SEE ALSO THIS (subsection on using wavelengths derived from RRM)
OR THIS (subsection on biomolecular interaction, recognition and binding).

available in PDFDNA-Protein Interactions at Distance Explained by the Resonant Recognition ModelNo comments yet icon2024-(5)Irena Cosic, Drasko Cosic
Favailable in PDFElectrodynamic forces driving DNA-enzyme interaction at a large distanceNo comments yet icon2022-(28)Elham Faraji, Philip Kurian, Roberto Franzosi, Stefano Mancini, Irena Cosic, Drasko Cosic, Giulio Pettini, Marco Pettini
Aavailable in PDF and HTMLp38 MAPK patterned EMF affects PC-12 neurite outgrowth after 2 days of treatmentCommentary icon2021-(1)Adam Plourde-Kelly, Blake Dotta, Stanley Koren
Favailable in PDFRoll of Temperature in Living Systems Analysed Using the Resonant Recognition ModelCommentary icon2020-(5)Irena Cosic, Drasko Cosic
Favailable in PDFBiophysical Insights into Cystic Fibrosis Based on Electromagnetic Resonances in CFTR ProteinsCommentary icon2019-(8)Irena Cosic, Vasilis Paspaliaris, Drasko Cosic
Aavailable in HTMLCommunication of the Cell Periphery with the Golgi Apparatus: A HypothesisNo comments yet icon2019-(1)Werner Jaross
Favailable in PDF and HTMLExplanation of Osteoblastic Differentiation of Stem Cells by Photo Biomodulation Using the Resonant Recognition ModelCommentary icon2019-(9)Irena Cosic, Vasilis Paspaliaris, Drasko Cosic
Favailable in PDFZika Virus Viewed Through the Resonant Recognition Model. Unraveling New Avenues for Understanding and Managing a Serious ThreatCommentary icon2018-(7)José Luis Hernández Cáceres, Graham Wright
Favailable in HTMLHypothesis on interactions of macromolecules based on molecular vibration patterns in cells and tissuesCommentary icon2018-(7)Werner Jaross
Favailable in PDFStudying Protein kinases PKCζ and PKMζ with the Resonant Recognition Model. Implications for the study of Memory MechanismsCommentary icon2017-(14)Suria Valdés García, José Luis Hernández-Cáceres
Favailable in PDFCancer Related BRCA-1 and BRCA-2 Mutations as Analysed by the Resonant Recognition ModelNo comments yet icon2017-(8)Irena Cosic, Drasko Cosic, Katarina Lazar
Favailable in PDFTesla, Bioresonances and Resonant Recognition ModelCommentary icon2017-(16)Irena Cosic, Drasko Cosic, Katarina Lazar
Favailable in PDFThe Emission and Application of Patterned Electromagnetic Energy on Biological SystemsNo comments yet icon2017-(272)Nirosha J. Murugan
Favailable in PDFHidden Connections Between NanoTesla Magnetic Fields, Cosic Molecular Resonance, and Photonic Fields Within Living SystemsCommentary icon2016-(20)Michael A. Persinger
Favailable in PDF and HTMLThe treatment of crigler-najjar syndrome by blue light as explained by resonant recognition modelCommentary icon2016-(7)Irena Cosic, Drasko Cosic
Favailable in PDF and HTMLEnvironmental Light and Its Relationship with Electromagnetic Resonances of Biomolecular Interactions, as Predicted by the Resonant Recognition ModelCommentary icon2016-(10)Irena Cosic, Drasko Cosic, Katarina Lazar
Aavailable in HTMLAnalysis of Tumor Necrosis Factor Function Using the Resonant Recognition ModelNo comments yet icon2015-(1)Irena Cosic, Drasko Cosic, Katarina Lazar
Favailable in PDF and HTMLPossibility to interfere with malaria parasite activity using specific electromagnetic frequenciesCommentary icon2015-(11)Irena Cosic, JoseLuis Hernandes Caceres, Drasko Cosic
Favailable in PDFIs it possible to predict electromagnetic resonances in proteins, DNA and RNA?No comments yet icon2015-(8)Irena Cosic, Drasko Cosic, Katarina Laza
Favailable in PDF and HTMLNovel Cosic resonance (standing wave) solutions for components of the JAK–STAT cellular signaling pathway: A convergence of spectral density profilesNo comments yet icon2015-(6)Michael A. Persinger, Nirosha J. Murugan, Lukasz M. Karbowski
Favailable in PDFCombined Spectral Resonances of Signaling Proteins’ Amino Acids in the ERK-MAP Pathway Reflect Unique Patterns That Predict Peak Photon Emissions and Universal EnergiesNo comments yet icon2015-(17)Michael A. Persinger, Nirosha J. Murugan, Lukasz M. Karbowski
Favailable in PDF and HTMLCosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for TreatmentNo comments yet icon2015-(9)Nirosha J. Murugan, Lukasz M. Karbowski, Michael A. Persinger
Favailable in PDF and HTMLCosic's Resonant Recognition Model for Macromolecules can be used to Predict and Modify the Fluctuating Wavelengths of Ultraweak Photon Emissions from Stressed Cancer CellsNo comments yet icon2014-(1)Blake T. Dotta
Favailable in PDF, HTML and EpubA Computational Simulation of Determination of Characteristic Frequency for Identification of Hot Spots in ProteinsNo comments yet icon2014-(4)Sidhartha Sankar Sahoo, Malaya Kumar Hota
Favailable in PDFDetermination of Characteristic Frequency in Proteins using Chirp Z-transformNo comments yet icon2013-(6)Anjali Sharma, Rameshwar Singh
Favailable in PDF and HTMLA bioactive peptide analogue for myxoma virus protein with a targeted cytotoxicity for human skin cancer in vitroNo comments yet icon2012-(13)Nahlah M. Almansour, Elena Pirogova, Peter J. Coloe, Irena Ćosić, Taghrid S. Istivan
Favailable in PDFDetermination of Characteristic Frequency for Identification of Hot Spots in ProteinsCommentary icon2011-(4)Yashpal Yadav, Sulochana Wadhwani
Favailable in PDFProtein Interaction Hotspot Identification Using Sequence-based Frequency-derived FeaturesCommentary icon2011-(10)Quang-Thang Nguyen, Ronan Fablet, Dominique Pastor
Favailable in PDF and HTMLBioactive peptide design using the Resonant Recognition ModelNo comments yet icon2007-(11)Irena Cosic, Elena Pirogova
Aavailable in HTMLA modified resonant recognition model to predict protein-protein interactionNo comments yet icon2007-(1)Xiang Liu, Yifei Wang
Favailable in PDFElectromagnetic Properties of BiomoleculesCommentary icon2006-(10)Irena Ćosić, Elena Pirogova, Vuk Vojisavljević, Qiang Fang

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