AI Supercomputer to Map Enzyme Dynamics in Denmark

Technical University of Denmark
A high-profile research project from DTU is among the first six projects that have made it through the eye of the needle and will have access to the new AI supercomputer funded by the Novo Nordisk Foundation and the Danish Export and Investment Fund (EIFO) established in collaboration with the US tech company NVIDIA.
In the project, researchers from different departments and centers at DTU will use a new type of machine learning to perform large-scale simulations of enzymes to map how enzymes move. By understanding their dynamics, the researchers can develop more efficient enzymes that can convert captured CO2 into sustainable fuels and chemicals.
"Access to Gefion will allow us to study a class of very interesting enzymes that can convert CO2 into sustainable fuels and chemicals. This can be done with unprecedented accuracy and speed, allowing us to identify new, efficient enzymes for converting CO2 into sustainable fuels such as methanol," says DTU Professor Tejs Vegge and Director of the Pioneer Center CAPeX.

Together with Senior Researcher Carlos G. Acevedo-Rocha and a broad team of DTU researchers, Tejs Vegge is behind the project. Using different interdisciplinary approaches, they are working on cracking the code to deliver green fuels at a large scale.

In the future, using enzymes to convert captured CO2 could be a sustainable and efficient supplement to the man-made power-to-X processes we use today.

Green vision

The fact that DTU is one of the first universities to gain access to the supercomputer emphasizes the university's vision of making a positive difference to society and the green transition, states Christine Nellemann, Dean of Sustainability, Diversity, Inclusion and International Collaborations at DTU.

Gefion's extraordinary computing power opens up completely new opportunities in the research of green technologies that can help accelerate our transition to renewable energy.

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