Artificial Intelligence in Structural Biology: The Future Role of NMR | Prof. Julie Forman-Kay скачать в хорошем качестве

Artificial Intelligence in Structural Biology: The Future Role of NMR | Prof. Julie Forman-Kay

Artificial Intelligence (#AI) 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. In this interview, Prof. Julie Forman-Kay (Head of the Molecular Medicine Program at the Hospital for Sick Children Research Institute) discusses the future role of NMR in structural biology, especially in the context of AI advancements. Prof. Forman-Kay 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. Learn more: https://goto.bruker.com/3ZeRGjH ‪@SickKidsInteractive‬ ‪@uoft‬ #StructuralBiology #Bruker #ProteinResearch #ScientificResearch #Innovation