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Biophysical Insights into Cystic Fibrosis Based on Electromagnetic Resonances in CFTR Proteins

Author

Listed:
  • Irena Cosic
  • Vasilis Paspaliaris
  • Drasko Cosic

Abstract

The cystic fibrosis is genetic disease characterised by build-up of thick mucus in the lungs, which causes difficulties in breathing. It is caused by mutations in CFTR protein. Here, we utilised the Resonant Recognition Model (RRM), which proposes that proteins specific activity is characterised by specific frequencies (wavelengths) of electromagnetic radiation. Using the RRM approach, we have identified the electromagnetic frequency (wavelength) characterising the healthy CFTR proteins, while the amplitude at this frequency is diminishing in mutated CFTR proteins. Thus, the identified characteristic frequency (wavelength) for heathy CFTR proteins could be proposed to be critical for healthy functioning of CFTR proteins and for differentiating between healthy and malfunctioning CFTR proteins related to cystic fibrosis. In addition, using the RRM approach we achieved the possible explanation on how specific temperature of 27-28°C can restore the healthy function in mutated CFTR proteins.

Suggested Citation

  • Irena Cosic & Vasilis Paspaliaris & Drasko Cosic, 2019. "Biophysical Insights into Cystic Fibrosis Based on Electromagnetic Resonances in CFTR Proteins," International Journal of Sciences, Office ijSciences, vol. 8(09), pages 1-8, September.
    • Handle: RePEc:adm:journl:v:8:y:2019:i:9:p:1-8
    DOI: 10.18483/ijSci.2148
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    Cited by:

    1. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2020. "New Concept of Small Molecules Interaction with Proteins – An Application to Potential COVID-19 Drugs," International Journal of Sciences, Office ijSciences, vol. 9(09), pages 16-25, September.
    2. Irena Cosic & Drasko Cosic, 2020. "Roll of Temperature in Living Systems Analysed Using the Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 9(04), pages 40-44, April.
    3. Irena Cosic & Drasko Cosic & Ivan Loncarevic, 2021. "Analysis of Ivermectin as Potential Inhibitor of SARS-CoV-2 Using Resonant Recognition Model," International Journal of Sciences, Office ijSciences, vol. 10(01), pages 1-6, January.

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