RUDN chemist has created a powerful antimicrobial drug that is several times more effective than existing ones
Coordination polymers are “hybrids” in which metal centers are linked by organic ligands. They are often bioactive, so chemists are investigating how they can be used in medicine. Infectious diseases, and especially viral diseases, are the cause of most global pandemics. Viruses have killed people for centuries and contributed to the deaths of millions around the world. RUDN University chemist together with his colleagues from Poland, created a silver-based coordination polymer and proved its effectiveness in fighting bacteria and viruses, as well as in suppressing cancer cell growth.
“Combining biologically active metal ions and biorelevant organic components into an organometallic network is an attractive way to develop new bioactive materials. The new complex exhibited remarkable antiviral activity, significant antibacterial activity against clinically significant bacteria, and selective cytotoxicity against human cervical carcinoma cells,” said Alexander Kirillov, Ph.D. in Сhemistry, an Associate of the RUDN Joint Institute for Chemical Research.
Chemists have proposed a silver-based coordination polymer that is produced according to the self-assembly principle, an ordered structure is assembled from the initial elements, like parts of a jigsaw puzzle. The reaction takes place in an aqueous or methanol medium at a temperature of about 25℃. Silver oxide, quinolinic acid and water-soluble aminophosphine PTA are placed in it. RUDN chemists investigated the structure of the resulting complex by various methods, including X-ray diffraction analysis. The biological properties of the compound were studied on herpes simplex virus type I, Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa. In addition, chemists evaluated the ability of the new compound to kill human cervical carcinoma cells and lung cancer cells.
The new coordination polymer completely suppressed the herpesvirus. Its number decreased by more than a million times. This is two orders of magnitude greater than, for example, acyclovir (this common antiviral drug suppresses the herpesvirus by four orders of magnitude, that is, it reduces its number ten thousand times). The antibacterial action of the coordinated polymer was about twice as effective as that of silver nitrate, a common bactericidal agent. The coordinating polymer also has a pronounced cytotoxic effect on cervical carcinoma cells, although it had no effect on lung cancer cells.
“The results obtained are important in terms of expanding the family of coordination polymers and contribute to the understanding of their bioactivity, as well as reveal significant potential for developing new antiviral and antimicrobial agents,” said Alexander Kirillov.
The study is published in Inorganic Chemistry.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.