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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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