Green transition

Researchers will map the dynamics of enzymes with Denmark's first AI supercomputer

The Novo Nordisk Foundation and the Danish Centre for AI Innovation have selected the first research projects to gain access to the AI supercomputer ‘Gefion’. Among them is a DTU research project that will map the dynamics of enzymes and develop enzymes that can convert CO2 into sustainable fuels and chemicals.

Photo: Novo Nordisk Foundation.
DTU researchers are among the first to gain access to Denmark's first AI supercomputer, 'Gefion.' The researchers will use Gefion's extraordinary computational power to map the dynamics of enzymes. Photo: Novo Nordisk Foundation.
"That our researchers have the opportunity to run large datasets and simulations from excellent research initiatives from DTU at Gefion not only means that we can learn more about nature's own processes for converting CO2, but also that we can deliver results faster, which is crucial if we are to deliver solutions to counteract global warming."
Christine Nellemann Dean of Sustainability, Diversity, Inclusion and International Collaborations at DTU.
The enzyme formate dehydrogenase, shown as spirals in rainbow colors. The enzyme converts CO2 into the product formate, represented as small white balls. The cofactor NAD+, which enables the reaction, is shown with gray balls. The blue represents many small water molecules surrounding and dissolving the enzyme.

Computing power will accelerate basic research

Enzymes already play a major role in our everyday lives as small machines that help speed up chemical reactions. Not only in our bodies, but also in the production of food, medicine, sustainable biomaterials and chemicals.
 
Enzymes also play a central role in many biological processes involving CO2 conversion in nature. By understanding these processes, we can develop efficient enzymes that can convert captured CO2 into sustainable fuels such as methanol.
 
With Gefion, the interdisciplinary team can simulate a much larger number of atoms and take into account how enzymes are affected by fluids, which is crucial to accurately predict their function and movements over time.
 
"Designing high-performance enzymes is complex and very difficult. It requires extraordinary computing power, and it requires us to test the calculated enzyme designs in the lab and learn from the results. Performing experiments and tests in the lab is very important to validate the supercomputer simulations and calculated predictions. This is crucial when using artificial intelligence to accelerate research," says DTU Senior Researcher Carlos G. Acevedo-Rocha.  
 

Facts

The DTU research project AIM4CO2: ‘Unravelling CO2 reduction in Non-Metal Formate Dehydrogenase (FDH) using Machine-Learned Force Fields’ will be one of the first research projects to run tests on the Gefion AI supercomputer.

With the project, DTU researchers will perform unprecedented large-scale simulations that are only possible on a supercomputer like Gefion to identify new variants of FDH that can be used to increase the rate of CO2 reduction to formate and perhaps even to methanol, e.g. for sustainable shipping fuels.

The research is an interdisciplinary collaboration between DTU Energy and DTU Biosustain and is carried out as part of CAPeX - Pioneer Centre for Accelerating P2X Materials Development.

The research project is led by Professor Tejs Vegge from DTU Energy and Senior Researcher Carlos G. Acevedo-Rocha from DTU Biosustain, Novo Nordisk Foundation Center for Biosustainability. Additionally, the research team consists of Postdoc Bardi Benediktsson, Associate Professor and PhD Arghya Bhowmik, Scientific Software Developer and PhD Steen Lysgaard, Scientific Software Developer and PhD Jonas Busk, as well as DDSA PhD Fellow Niklas Gesmar Madsen.

The research project has been given a total of 3 months to use Gefion.