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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Dependence of Binding Free Energies between RNA Nucleobases and Protein Side Chains on Local Dielectric Properties

Journal of Chemical Theory and Computation. 2017. Vol. 13. P. 4504–4513.
Polyansky A.

In order to fully understand the microscopic origins of binding specificity between nucleic acids and proteins, it is imperative to study the dependence of the binding preferences between nucleobases and protein side chains on the properties of the environment. Here, we employ molecular dynamics simulations and umbrella sampling to derive the potentials of mean force and the associated absolute binding free energies between the four standard RNA nucleobases and the side chains of aspartic acid and tryptophan in water/methanol mixtures exhibiting a wide range of dielectric constants. In addition to their opposing character when it comes to hydrophobicity, aspartate and tryptophan side chains were chosen because they exhibit the greatest change in binding free energies with nucleobases between pure water and methanol environments. We exploit a strong linear dependence of the derived ΔG values on the mole fraction of methanol to estimate the binding free energies of all possible combinations of different standard RNA nucleobases and side chains at multiple values of dielectric constants. Finally, we critically assess the recently proposed complementarity hypothesis concerning direct, coaligned binding between mRNAs and their cognate proteins in light of the present results.

Research target: Computer Science Biology
Language: English
DOI
Keywords: Computational biology
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