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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Small Amphiphilic Peptides: Activity Against Broad Range of Drug-Resistant Bacteria and Structural Insight into Membranolytic Properties

Journal of Medicinal Chemistry. 2022. Vol. 65. No. 1. P. 665–687.
Lohan S., Mandal D., Choi W., Konshina A. G., Tiwari R., Efremov R., Maslennikov I. V., Parang K.

We report the synthesis and antibacterial activities of a series of amphiphilic membrane-active peptides composed, in part, of various non-genetically coded hydrophobic amino acids. Lead cyclic peptides, 8C and 9C, showed broad-spectrum activity against drug-resistant Gram-positive (MIC=1.5-6.2 µg/mL) and Gram-negative (MIC=12.5-25 µg/mL) bacteria. Cytotoxicity study showed the predominant lethal action of the peptides against bacteria as compared with mammalian cells. A plasma stability study revealed approximately 2-fold higher stability of lead cyclic peptides as compared to their linear counterparts after 24 h incubation. A calcein dye leakage experiment revealed the membranolytic effect of the cyclic peptides. Nuclear magnetic resonance spectroscopy and molecular dynamics simulations studies of the interaction of the peptides with phospholipid bilayer provided a solid structural basis explaining the membranolytic action of the peptides with atomistic details. These results highlight the potential of newly designed amphiphilic peptides as the next generation of peptide-based antibiotics.

Research target: Biology Chemistry
Language: English
DOI
Text on another site
Keywords: молекулярная динамикаDrug resistanceBacteriaantimicrobial peptides molecular dynamicsантимикробные пептидыantibioticsантибиотикиБактерииCyclic PeptidesPeptide-Membrane InteractionsMembranolyticциклические пептидыустойчивость к лекарствамвзаимодействия пептид-мембранамембранолитический
Publication based on the results of:
Supercomputer technologies, theory and atomistic multiscale modeling in materials physics and life sciences (2022)
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