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DOI: 10.18483/ijSci.2805
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Volume 13 - Nov 2024
Abstract
It is very hard to accept that fast, precise and efficient biomolecular interactions within living cells in an environment heavily populated with other molecules which is happening only by random movement of molecules. A more realistic approach would be to have long distance recognition that will guide interacting molecules towards each other. With this idea in mind, it has been recently experimentally measured that the recognition between interacting biomolecules occurs on a distance through resonant electrodynamic intermolecular forces. To theoretically explain such measurements, we have employed the Resonant Recognition Model (RRM), which is the unique model predicting that biomolecular interactions are based on resonant electromagnetic energy transfer for distant recognition and interaction between interacting molecules. Here, we have applied the RRM model to analyse the interaction between EcoRI enzyme and double helix DNA primer containing EcoRI cleavage site. We have identified the characteristic frequency for this interaction, proposing that resonant electromagnetic energy is responsible for enzyme and DNA long distance recognition.
Keywords
Biomolecular long distance recognition, EcoRI enzyme, Resonant Recognition Model
References
- Preto J, Pettini M, Tuszynski J: On the role of electrodynamic interactions in long-distance biomolecular recognition. Phys. Rev., 2015; E91, 052710, doi: 10.1103/PhisREvi.91.052710.
- Nardecchia I, Lechelon M, Gori M, Donato I, Floriani E, Jaeger S, Mailfert S, Marguet D, Ferrier P, Pettini M: Detection of long-distance electrostatic interactions between biomolecules by means of Fluorescence Correlation Spectroscopy. Phys. Rev., 2017; E96, 022403, doi: 10.1103/PhisREvi.96.022403.
- Nardecchia I, Spinelli L, Preto J, Gori M, Floriani E, Jaeger S, Ferrier P, Pettini M: Experimental detection of long-distance interactions between biomolecules through their diffusion behavior: Numerical study. Phys. Rev., 2014; E90, 022703, doi: 10.1103/PhisREvi.90.022703.
- Lechelon M, Meriguet Y, Gori M, Nardecchia I, Floriani E, Ruffenach S, Coquillat D, Teppe F, Mailfert S, Marguet D, Ferrier P, Varani L, Sturgis J, Torres J, Pettini M: Experimental evidence for long-distance electrodynamic intermolecular forces. Sci. Adv., 2022; 8, eabl5855, doi: 10.1126/sciadv.abl5855.
- Kettlin U, Koltermann A, Schwille P, Eigen M: Real-time enzyme kinetics monitored by dual-color fluorescence cross-correlation spectroscopy. Proc. Natl. Acad. Sci., 1998; USA 95, 1416, doi: 10.1073/pnas.95.4.1416.
- Kurian P, Capolupo A, Craddock TJA, Vitiello G: Water-Mediated Correlations in DNA-Enzyme Interactions. Physics Letters, 2018; A382, 33, doi: 10.1016/j.physleta.2017.10.038.
- Cosic I: Macromolecular Bioactivity: Is it Resonant Interaction between Macromolecules? -Theory and Applications. IEEE Trans on Biomedical Engineering, 1994; 41, 1101-1114.
- Cosic I: The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications. Basel: Birkhauser Verlag, 1997.
- Cosic I, Cosic D, Lazar K: Analysis of Tumor Necrosis Factor Function Using the Resonant Recognition Model. Cell Biochemistry and Biophysics, 2015; doi: 10.1007/s12013-015-0716-3.
- Cosic I, Paspaliaris V, Cosic D: Analysis of Protein-Receptor on an Example of Leptin-Leptin Receptor Interaction Using the Resonant Recognition Model. Appl. Sci., 2019; 9,5169 doi: 10.3390/app9235169.
- Cosic I, Cosic D, Loncarevic I: New Concept of Small Molecules Interaction with Proteins – An Application to Potential COVID-19 Drugs. International Journal of Sciences, 2020; 9(9), 16-25, doi: 10.18483/ijSci.2390.
- Cosic I, Lazar K, Cosic D: Cellular Ageing - Telomere, Telomerase and Progerin analysed using Resonant Recognition Model. MD-Medical Data, 2014; 6(3), 205-209.
- Cosic I, Lazar K, Cosic D: Prediction of Tubulin resonant frequencies using the Resonant Recognition Model (RRM). IEEE Trans. on NanoBioscience, 2015; 12, 491-496, doi: 10.1109/TNB.2014.2365851.
- Cosic I, Cosic D, Lazar K: Is it possible to predict electromagnetic resonances in proteins, DNA and RNA?. Nonlinear Biomedical Physics, 2015; 3, doi: 10.1140/s40366-015-0020-6.
- Cosic I, Cosic D, Lazar K: Environmental Light and Its Relationship with Electromagnetic Resonances of Biomolecular Interactions, as Predicted by the Resonant Recognition Model. International Journal of Environmental Research and Public Health, 2016; 13(7), 647, doi: 10.3390/ijeprh13070647.
- Cosic I, Cosic D: The Treatment of Crigler-Najjar Syndrome by Blue Light as Explained by Resonant Recognition Model. EPJ Nonlinear Biomedical Physics, 2016; 4(9), doi: 10.1140/epjnbp/s40366-016-0036-6.
- Cosic I, Paspaliaris V, Cosic D: Explanation of Osteoblastic Differentiation of Stem Cells by Photo Biomodulation Using the Resonant Recognition Model. Appl. Sci., 2019; 9, 1979 doi: 0.3390/app9101979.
- Vojisavljevic V, Pirogova E, Cosic I: The Effect of Electromagnetic Radiation (550nm-850nm) on I-Lactate Dehydrogenase Kinetics. Internat J Radiat Biol, 2007; 83, 221-230.
- Cosic I, Nesic D: Prediction of "Hot Spots" in SV40 Enhancer and Relation with Experimental Data. Eur. J. Biochem., 1988; 170, 247-252.
- Cosic I, Hodder AN, Aguilar MI, Hearn MTW: Resonant Recognition Model and Protein Topography: Model Studies with Myoglobin, Hemoglobin and Lysozyme. Eur. J. Biochem, 1991; 198, 113-119.
- Cosic I, Hearn MTW: "Hot Spot" Amino Acid Distribution in Ha-ras Oncogene Product p21: Relationship to Guanine Binding Site. J. Molecular Recognition, 1991; 4, 57-62.
- Cosic I, Cosic D, Lazar K: Cancer Related BRCA-1 and BRCA-2 Mutations as Analysed by the Resonant Recognition Model, Journal of Advances in Molecular Biology. 2017; 1(2), doi: 10.22606/jamb.2017.12003.
- Cosic I, Hearn MTW: Studies on Protein-DNA Interactions Using the Resonant Recognition Model: Application to Repressors and Transforming Proteins. Eur. J. Biochem, 1992; 205, 613-619.
- Dotta BT, Murugan NJ, Karbowski LM, Lafrenie RM, Persinger MA: Shifting wavelength of ultraweak photon emissions from dying melanoma cells: their chemical enhancement and blocking are predicted by Cosic’s theory of resonant recognition model for macromolecules. Naturwissenschaften, 2014; 101(2), doi: 10.1007/s00114-013-1133-3.
- Murugan NJ, Karbowski LM, Persinger MA: Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment. Open Journal of Biophysics, 2014; 5, 35.
- Karbowski LM, Murugan NJ, Persinger MA: Novel Cosic resonance (standing wave) solutions for components of the JAK-STAT cellular signalling pathway: A convergence of spectral density profiles. FEBS Open Bio, 2015; 5, 245-250.
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