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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Cobra cardiotoxins: membrane interactions and pharmacological potential

Current Medicinal Chemistry. 2013. Vol. 21. No. 3. P. 270–287.
Efremov R., Konshina A., Dubovskii P.

Natural polycationic membrane-active peptides typically lack disulfide bonds and exhibit fusion, cell-penetrating, antimicrobial activities. They are mostly unordered in solution, but adopt a helical structure, when bound to phospholipid membranes. Structurally different are cardiotoxins (or cytotoxins, СTs) from cobra venom. They are fully b-structured molecules, characterized by the three-finger fold (TFF). Affinity of CTs to lipid bilayer was shown to depend on amino acid sequence in the tips of the three loops. In the present review, CT-membrane interactions are analyzed through the prism of data on binding of the toxins to phospholipid liposomes and detergent micelles, as well as their structural and computational studies in membrane mimicking environments. We assess different hydrophobicity scales to compare membrane partitioning of various CTs and their membrane effects. A comparison of hydrophobic/hydrophilic properties of CTs and linear polycationic peptides provides a key to their biological activity and reveal rationality for design of new membrane-interacting compounds. Finally, since the viewpoint of the data obtained on model lipid membranes, cytotoxic activity of CTs against cancer cells is discussed.

Priority areas: IT and mathematics
Language: English
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Keywords: молекулярное моделированиеmolecular modelingcardiotoxinmembrane-active peptidesprotein-membrane interactionsкардиотоксинмембрано-активные пептидыбелок-мембранные взаимодействия
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