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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Potassium channel blocker crafted by ɑ-hairpinin scaffold engineering

Biophysical Journal. 2021. Vol. 120. No. 12. P. 2471–2481.
Tabakmakher V., Gigolaev A., Peigneur S., Krylov N., Tytgat J., Chugunov A., Vassilevski A., Efremov R.

ɑ-Hairpinins are a family of plant defense peptides with a common fold presenting two short ɑ-helices stabilized by two invariant S–S-bridges. We have shown previously that substitution of just two amino acid residues in a wheat ɑ-hairpinin Tk-AMP-X2 leads to Tk-hefu-2 that features specific affinity to voltage-gated potassium channels KV1.3. Here, we utilize a combined molecular modeling approach based on molecular dynamics simulations and Protein Surface Topography technique to improve the affinity of Tk-hefu-2 to KV1.3 while preserving its specificity. An important advance of this work compared to our previous studies is transition from the analysis of various physico-chemical properties of an isolated toxin molecule to its consideration in complex with its target, a membrane-bound ion channel. As a result, a panel of computationally designed Tk-hefu-2 derivatives was synthesized and tested against KV1.3. The most active mutant Tk-hefu-10 showed an IC50 of ∼150 nM being >10 times more active than Tk-hefu-2 and >200 times more active than the original Tk-hefu. We conclude that ɑ-hairpinins provide an attractive disulfide-stabilized scaffold for the rational design of ion channel inhibitors. Furthermore, success rate can be considerably increased by the proposed “target-based” iterative strategy of molecular design.

Research target: Biology Chemistry
Priority areas: IT and mathematics
Language: English
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Keywords: Molecular Dynamics SimulationsPotassium channelspotassium channel blocker
Publication based on the results of:
Supercomputer technologies for atomistic modeling of physical processes in condensed matter (2021)
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