Make MR more relevant

AI (Artificial Intelligence) Enhancing Research with NMR (Nuclear Magnetic Resonance)

Artificial Intelligence accelerates the research with Nuclear Magnetic Resonance (NMR). Our customers leverage advanced AI tools to significantly speed up their NMR analysis, achieving breakthroughs faster than ever before. Here, researchers share their success stories and insights, showcasing how AI integration has transformed their work or how they envision future projects to be faster.

AI in Structural Biology

In this interview, Julie Forman-Kay discusses the future role of NMR (Nuclear Magnetic Resonance) in structural biology, especially in the context of AI advancements. She emphasizes that while AI tools like AlphaFold have made significant strides in predicting static protein structures, they fall short in understanding protein dynamics and disordered regions. NMR is crucial for capturing these dynamic properties and excited states of proteins, which are essential for their function. Forman-Kay argues that integrating NMR data with machine learning algorithms is the next step for advancing structural biology.

Julie Forman-Kay, Head of Molecular Medicine Program at the hospital for sick children Research Institute, Professor of Biochemistry, University of Toronto

AI in Protein Research

Using AI to speed up NMR-based protein structure determination

Prof. Dr. Roland Riek, based at ETH Zürich in Switzerland, has a broad range of research interests, most of which involve the application of NMR to biological systems, and proteins in particular. But his latest project is rather different from the rest, due to its focus on how to accelerate structure determination itself, using artificial intelligence (AI) to streamline the processes of NMR data acquisition and analysis.