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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.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.

 

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Dimeric states of transmembrane domains of insulin and IGF-1R receptors: Structures and possible role in activation

Biochimica et Biophysica Acta - Biomembranes. 2020. Vol. 1862. No. 11. P. 183417.
Kuznetsov A., Zamaletdinov M., Bershatsky Y., Urban A., Bocharova O., Bennasroune A., Maurice P., Bocharov E., Efremov R.

Despite the biological significance of insulin signaling, the molecular mechanisms of activation of the insulin receptor (IR) and other proteins from its family remain elusive. Current hypothesis on signal transduction suggests ligand-triggered structural changes in the extracellular domain followed by transmembrane (TM) domains closure and dimerization leading to trans-autophosphorylation and kinase activity in intracellular segments of the receptor. Using NMR spectroscopy, we detected dimerization of isolated TM segments of IR in DPC micelles and observed multiple signals of NH groups of protein backbone possibly corresponding to several dimer conformations. Taking available experimental data as constraints, several atomistic models of dimeric TM domains of IR and insulin-like growth factor 1 (IGF-1R) receptors were elaborated. Molecular dynamics simulations of IR ectodomain revealed noticeable collective movements potentially responsible for closure of the C-termini of FnIII-3 domains and spatial approaching of TM helices upon insulin-induced receptor activation. In addition, we demonstrated that the intracellular part of the receptor does not impose restrictions on the positioning of TM helices in the membrane. Finally, we used two independent structure prediction methods to generate a series of dimer conformations followed by their cluster analysis and dimerization free energy estimation to select the best dimer models. Biological relevance of the later was further tested via comparison of the hydrophobic organization of TM helices for both wild-type receptors and their mutants. Based on these data, the ability of several segments from other proteins to functionally replace IR and/or IGF-1R TM domains was explained.

Research target: Biology
Priority areas: IT and mathematics
Language: English
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Keywords: membrane receptorsмембранные рецепторыprotein-protein interactionsбелок-белковые взаимодействияtransmembrane helicesтрансмембранные спиралиbitopic membrane proteinбитопные мембранные белки
Publication based on the results of:
Methods for the analysis of the supercomputer efficiency, novel parallel algorithms for molecular dynamics calculations and modeling of transport processes in liquids and biomembranes (2020)
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