Exploring functional organic materials for the energy transition

Carbon, of all things, could help us to push forward the decarbonization of our industrial society. Functional carbon particles, known as carbon dots, can transform sunlight into energy and extract hydrogen from water. Prof. ...

Q&A: How machine learning is propelling structural biology

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the smallest scale: the trillions ...

A new Hungarian method may aid protein research

In a paper recently published in Nature Communications, the HUN-REN-ELTE Protein Modeling Research Group (Institute of Chemistry) has laid the foundations for a mathematical method, allowing the computer-assisted comparison ...

Machine learning model uncovers new drug design opportunities

Pathogens are nothing if not adaptable, and their ability to protect themselves against antibiotics increasingly poses a public health concern. A research team led by Los Alamos National Laboratory has used machine learning, ...

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