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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Modeling of novel CDK7 inhibitors activity by molecular dynamics and free energy perturbation methods

Mendeleev Communications. 2020. Vol. 30. No. 4. P. 430–432.
Svitanko I., Novikov F. N., Rusina P. V., Titov I. Y., Stroylov V. S., Abdyusheva Y. R., Murlatova E. Y.

Although CDK7 inhibitors are considered to be potential anticancer drugs, all inhibitors developed so far have significant disadvantages preventing their further use. We have developed a new CDK7 inhibitor scaffold lacking hepatotoxicity using molecular dynamics (MD) and free energy perturbation (FEP/MD) methods, and were able to double its binding affinity after additional research. The combination of MD and FEP/MD methods was shown to be a valuable instrument for the development of novel and potent CDK7 inhibitors for anticancer therapy.

Research target: Clinical Medicine Chemistry
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: molecular modelingМоделирование активности в направленном синтезе
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