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eBook The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications epub

by Irena Cosic

eBook The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications epub
  • ISBN: 3764354879
  • Author: Irena Cosic
  • Genre: Science
  • Subcategory: Biological Sciences
  • Language: English
  • Publisher: Birkhäuser; 1 edition (April 1, 1997)
  • Pages: 143 pages
  • ePUB size: 1260 kb
  • FB2 size 1179 kb
  • Formats lrf lrf txt rtf


Theory and Applications. Bibliographic Information. The Resonant Recognition Model of Macromolecular Bioactivity.

Theory and Applications. eBook 91,62 €. price for Russian Federation (gross). Theory and Applications.

Resonant recognition model of macromolecular interactions. The Resonant Re cognition Model proposes thet these interactions are electromagnetic in their nature and that selectivity is achieved through electromagnetic resonance between interacting macromolecules. This approach can have enormous applications in drug design and in understanding of influence of electromagnetic radiation to biological processes.

Start by marking The Resonant Recognition Model of Macromolecular Bioactivity .

Start by marking The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications as Want to Read: Want to Read savin. ant to Read. This book presents an entirely new approach to Biological processes in any living organism are based on selective interactions be tween particular biomolecules. In most cases, these interactions involve and are driven by proteins, which are the main conductors of any life process within the organism. The physical nature of these interactions is still not well known.

Model of Macromolecular Bioactivity : Theory and Applications.

The Resonant Recognition Model of Macromolecular Bioactivity : Theory and Applications. This book presents an entirely new approach to analysis of biomolecular in- teractions, in particular protein-protein and protein-DNA interactions, based on the assumption that these interactions are electromagnetic in nature. This new ap- proach is the basis of the Resonant Recognition Model (RRM), which was devel- oped over the last 15 years. Books related to The Resonant Recognition Model of Macromolecular Bioactivity. by. series Biomethods.

Biological processes in any living organism are based on selective interactions between particular biomolecules. This new approach is incorporated in the Resonant Recognition Model (RRM), which was developed over the last 10 years. In most cases, these interactions involve and are driven by proteins which are the main conductors of any living process within the organism. It has been shown initially that certain periodicities within the distribution of energies of delocalized electrons along a protein molecule are critical for protein biological function, . interaction with its target.

Автор: Irena Cosic Название: The Resonant Recognition Model of Macromolecular Bioactivity . The Resonant Recognition Model (RRM) is a physicomathematical model developed for analysing protein and nucleic acid sequences. . Structure-function relationships in proteins and DNA: definition of the problem. Existing approaches and their limitations. Previously, the electron-ion interaction potentials (EIIP) of amin. More).

Cosic, I. The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications; Birkhauser . Table 1. Characteristic Resonant Recognition Model (RRM) frequencies for different biological functions of protein and DNA macromolecules

Cosic, I. The Resonant Recognition Model of Macromolecular Bioactivity: Theory and Applications; Birkhauser Verlag: Basel, Switzerland, 1997. Cosic, . Lazar, . Cosic, D. Prediction of Tubulin resonant frequencies using the Resonant Recognition Model (RRM). Characteristic Resonant Recognition Model (RRM) frequencies for different biological functions of protein and DNA macromolecules. Column 1 represents the numerical RRM frequency. Column 2 represents the corresponding electromagnetic radiation in nm.

Book Publishing WeChat. I-Theory: A Unifying Quantum Theory? H. H. Swami Isa, Christophe Dumas. Cosic, I. (1997) The resonant recognition model of macromolecular bioreactivity, theory and application. Birkhauser Verlag, Berlin. A robust pattern recognition technique, Random Forests, was employed to uncover essential amino acid markers to differentiate the two viruses. Some of these markers were also part of the previously discovered genomic signature that separate avian or swine from human viruses. 52019 382 Downloads 1 318 Views Citations.

Biological processes in any living organism are based on selective interactions be­ tween particular biomolecules. In most cases, these interactions involve and are driven by proteins, which are the main conductors of any life process within the organism. The physical nature of these interactions is still not well known. This book presents an entirely new approach to analysis of biomolecular in­ teractions, in particular protein-protein and protein-DNA interactions, based on the assumption that these interactions are electromagnetic in nature. This new ap­ proach is the basis of the Resonant Recognition Model (RRM), which was devel­ oped over the last 15 years. Certain periodicities within the distribution of energies of delocalised electrons along a protein molecule are crucial to the protein's biological function, i.e. inter­ action with its target. If protein conductivity were introduced, then charges mov­ ing through the protein backbone might produce electromagnetic irradiation or ab­ sorption with spectral characteristics corresponding to energy distribution along the protein. The RRM is capable of calculating these spectral characteristics, which we hypothesized would be in the range of the infrared and visible light. These characteristics were confirmed with frequency characteristics obtained ex­ perimentally for certain light-induced biological processes.
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