Scientists report an effective method for synthesizing analogues of natural medicines
Organic compounds phenanthridinones are part of many natural substances with medicinal activity, including antiviral and antitumor. There are several strategies for creating them in the laboratory, but all of them are either time-consuming or require harsh conditions. Most methods of synthesis are essentially limited since they involve the connection of two ring fragments (aryls). The RUDN University chemist, together with colleagues from Belgium and China, proposed a different approach, to combine not pure aryl fragments, but modified ones — with the nitrogen atom.
“Conventional strategies involve multistep procedures or harsh reaction conditions. However, these reaction systems are always limited to firstly suffer from aryl-aryl coupling, preventing the design of new and efficient strategies to synthesize diverse and complex phenanthridinones. Based on this situation, we set out to exploit whether a pathway firstly undergoing N-arylation instead of aryl-aryl coupling would be possible for the synthesis of phenanthridinones” said Erik Van der Eycken, the head of the Joint Institute for Chemical Research at RUDN University.
Chemists suggested a palladium-based catalyst. After testing 17 types of palladium catalysts, scientists found that the most effective compound was palladium and trifluoroacetic acid. The best auxiliary substances were potassium carbonate (it served as a base), and the best solvent was dioxane.
Having determined the optimal conditions, the chemists conducted a series of experiments with different starting compounds — 25 types of bromobenzamides. The reaction takes 12 hours at a temperature of 100 ° C and gives different phenanthridinones at the output with an efficiency of 42-92%. The resulting products can still be diversified and more complex phenanthridinones can be obtained with a yield of 30-75%.
“We have developed a novel method to prepare diverse phenanthridinones from bromobenzamides through palladium-catalyzed cascade intermolecular N-arylation/aryl-aryl coupling process. This reaction features excellent chemo- and regioselectivity, broad substrate scope, excellent functional group tolerance and moderate to excellent yield. The synthetic utility of this method is successfully illustrated by the further late-stage diversification of the obtained phenanthridinones. This method also provides a new direction for the synthesis of diverse and complex phenanthridinones.,” said Erik Van der Eycken, the head of the Joint Institute for Chemical Research at RUDN University.
The results are published in Molecular Catalysis.
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.
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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.