The project submitted by research team from the University of Gdańsk, together with the French team from Centre Inria Grenoble ‐ Rhône‐Alpes, has been one of the winners of PHC Polonium 2020 program, a bilateral research program for Poland and France. Dr hab. Artur Giełdoń from the Faculty of Chemistry UG coordinates the Polish side of the project titled ‘Nauczanie maszynowe oraz gruboziarniste pole siłowe jako narzędzie do badania dynamiki białek’ (Machine learning and coarse-grained force field as protein progression research tool).

- Machine learning is a term originating in SCI-FI literature and is mainly associated with artificial intelligence. This future is happening in front of our eyes, the most spectacular example being the fact that a computer was thought to teach playing chess. Modern chess programs are able to beat even chess grandmasters. This technology has almost unlimited potential. In the submitted project we will try to combine machine learning technology (developed by Professor’s Sergei Grudinin team from the Research Institute in Grenoble) with the method developed at the Department of Theoretical Chemistry UG, enabling protein structure and progression modeling – explains dr hab. Artur Giełdoń from the Faculty of Chemistry UG.

The program in Poland is organized by the National Agency for Academic Exchange (NAWA), in France by the Ministry of Foreign Affairs (MEAE) and the Ministry of Higher Education and Research (MESRI). It supports mobility of the cooperating research teams.

The 2020 edition of the Polonium program as been very popular– call for proposals received 54 submissions , that is three more than last year and that is the largest number in the last 8 years. 20 projects received financing under the current edition of the program.

PHC Polonium results are available under the following link

Translation: Adam Myzyk