1994
DOI: 10.1109/10.335859
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Macromolecular bioactivity: is it resonant interaction between macromolecules?-theory and applications

Abstract: Biological processes in any living organism are based on selective interactions between particular biomolecules. In most cases, these interactions involve and are driven by proteins which are the main conductors of any living process within the organism. The physical nature of these interactions is still not well known. This paper represents a whole new view to biomolecular interactions, in particular protein-protein and protein-DNA interactions, based on the assumption that these interactions are electromagne… Show more

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Cited by 297 publications
(454 citation statements)
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“…However Irena Cosic [1] observed marked discrepancies for this central assumption. She addressed this discrepancy by assigning each amino acid with a calculated psuedopotential value based upon the characteristics of de-localized electrons.…”
Section: Introductionmentioning
confidence: 91%
“…However Irena Cosic [1] observed marked discrepancies for this central assumption. She addressed this discrepancy by assigning each amino acid with a calculated psuedopotential value based upon the characteristics of de-localized electrons.…”
Section: Introductionmentioning
confidence: 91%
“…As a measure of the significance of the resultant signal, the signal-to-noise ratio, S/N, was calculated for P(n) using Equation 3.3. Where the RRM method was applied to codon and codon pair data, and to residue hydrophobicity scores, inhouse code was used to calculate the discrete Fourier transforms, rather than the Fast Fourier Transform (FFT) method used by Cosic [50]. This allows for easier interpretation of frequency results.…”
Section: Rrm Methodsmentioning
confidence: 99%
“…This multiplication identifies frequencies n which have high values of R(n) for most values of j -if for a few values of j, R(n) is small, the product will also be small. Hence the multiplication step identifies common frequencies in the data [49]. As a measure of the significance of the resultant signal, the signal-to-noise ratio, S/N, was calculated for P(n) using Equation 3.3.…”
Section: Rrm Methodsmentioning
confidence: 99%
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