Chemist from RUDN University together with colleagues from the institutes of the Russian Academy of Sciences simplified the synthesis of antitumor compounds
Many modern anti-cancer drugs are toxic, difficult to access, and/or very expensive. In addition, tumor cells can develop resistance to the drugs used. Therefore, researchers are studying the biological properties of molecules to obtain new anti-cancer drugs with optimal properties. One of the most common approaches to searching for such drugs is testing analogs of substances with already proven antitumor activity. These substances include, in particular, isoxazole derivatives that inhibit — “turn off” — the hsp90 protein necessary for the survival of tumor cells. However, compounds of this class are not readily available due to the complexity of the synthesis procedure, which requires, in particular, the complete absence of water molecules, and reagents are expensive and toxic.
Viktor Khrustalev, a chemist from RUDN University, and his colleagues have developed a method for synthesizing isomers of these substances, that is, compounds that are identical in atomic composition, but differ in the arrangement of atoms in space. As raw materials, readily available derivatives of aryl nitromethanes and chloroacetamides were used, and the reaction itself was carried out at temperatures of no more than 80 degrees at atmospheric pressure and did not require anhydrous conditions.
The resulting substances had anti-cancer activity, but unlike the prototype compounds, they do not inhibit the Hsp90 protein. Their mechanism of action is based on the destabilization of the cell division process — they prevent the formation of microtubules, which are necessary in the process of cell division.
The same mechanism of action has Taxol derivatives — one of the most commonly used antitumor agents. Based on the compounds obtained by scientists, a replacement for expensive, poorly available and highly toxic Taxol derivatives in the treatment of cancer can be created.
Article in the European Journal of Organic 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.