Biochemist discovers a promising enzyme to fight cancer cells
Polyamines (PA)—spermidine (Spd) and spermine (Spm)—play an important role in the body’s protective reactions. Polyamines are regulators of growth, differentiation and the process of cell death. The dynamics of the metabolism of polyamines is used in the diagnosis of pathologies of systems and organs. Disorders in the metabolism of polyamines lead to an increase in their concentration in the body. This is accompanied by accelerated tissue proliferation due to cell division. This mechanism is typical of various forms of cancer. On the other hand, some decay products by oxidation of polyamines show antitumor and antimicrobial activity and slow the growth of certain types of cancer cells, bacteria and viruses. A RUDN University biochemist proposed to use these properties for the treatment of cancer.
Professor of the Department of Biochemistry of RUDN University Sergey Syatkin designed the structure of the molecule (ligand) with predetermined properties. To do this, he used bioinformatics and computer modeling technologies, primarily molecular docking. This method allowed him to predict how the drug molecules will behave in relation to the target protein. Based on molecular docking data, biochemists synthesized 36 nitrogen-containing substances with different chemical structures. They made a classification of the stimulating effects of these substances on the cells of the body. It turned out that the effects of a potential drug depended on the way in which the special molecules—ligands—included in their composition, accelerated the decay of polyamines by their oxidation.
Using computer simulations, biochemists visually detected how the molecules of inorganic substances that make up the potential drug will dock with one of the mouse proteins. Their classification made it possible to correctly predict the nature of the effects that the substance of the drug will have on the body of an experimental animal. After that, a series of experiments on rats was carried out.
Experiments have shown that substances that can enhance the oxidation of PA can become potential anti-cancer agents. This opens up the prospect of developing antitumor drugs based on the use of substances that activate the rate of decay of PA by enzymatic oxidation.
A Center for Green Diplomacy was created based on the RUDN Institute of Environmental Engineering. Among the goals is the integration of the results of scientific and practical activities into the development of international relations in the environmental sphere. The center's specialists will also accompany the corporate sector in solving various environmental problems.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
A Center for Green Diplomacy was created based on the RUDN Institute of Environmental Engineering. Among the goals is the integration of the results of scientific and practical activities into the development of international relations in the environmental sphere. The center's specialists will also accompany the corporate sector in solving various environmental problems.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).