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.
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).