Long-distance interactions and principles of molecular recognition at various biosystem organization levels
- Authors: Namiot V.A.1, Batyanovskii A.V.2, Filatov I.V.3, Tumanyan V.G.4, Esipova N.G.4
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Affiliations:
- Institute of Nuclear Physics
- Institute of Cell Biophysics and Cell Technology
- Moscow Institute of Physics and Technology
- Engelhardt Institute of Molecular Biology
- Issue: Vol 61, No 1 (2016)
- Pages: 47-51
- Section: Molecular Biophysics
- URL: https://ogarev-online.ru/0006-3509/article/view/151899
- DOI: https://doi.org/10.1134/S0006350916010188
- ID: 151899
Cite item
Abstract
Efficient molecular recognition, in which recognition processes are occurring much faster than it takes to test variants, is only possible when long-distance recognition occurs together with contact interactions. The distance between interacting molecules should be sufficiently long to prevent hindrances to the search and, on the other hand, sufficiently short to provide selectivity. It was demonstrated that both of these two requirements can be satisfied simultaneously for biological macromolecules that include helical segments. Because the “diameters” of helical molecules are far shorter than their lengths, the intermolecular distance can be far greater than the diameters, thus allowing a free search. The distance can be far shorter than the lengths at the same time, thus providing selectivity. Analytical procedures were developed to estimate the parameters for protein–protein and protein–nucleic acid recognition. The coincidence of the charge-distribution periods in helical segments was found to substantially increase their interaction potential, and the reduction scale characteristic of the potential was shown to depend on the numerical value of the coinciding period.
About the authors
V. A. Namiot
Institute of Nuclear Physics
Author for correspondence.
Email: vnamiot@gmail.com
Russian Federation, Moscow, 119991
A. V. Batyanovskii
Institute of Cell Biophysics and Cell Technology
Email: vnamiot@gmail.com
Belarus, Akademicheskaya ul. 27, Minsk, 220072
I. V. Filatov
Moscow Institute of Physics and Technology
Email: vnamiot@gmail.com
Russian Federation, Institutskii per. 9, Dolgoprudnyi, Moscow oblast, 141700
V. G. Tumanyan
Engelhardt Institute of Molecular Biology
Email: vnamiot@gmail.com
Russian Federation, Vavilova ul. 32, Moscow, 119991
N. G. Esipova
Engelhardt Institute of Molecular Biology
Email: vnamiot@gmail.com
Russian Federation, Vavilova ul. 32, Moscow, 119991
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