Biomolecular NMR in the AI-assisted structural biology era: Old tricks and new opportunities.

Over the last 40 years nuclear magnetic resonance (NMR) spectroscopy has established itself as one of the most versatile techniques for the characterization of biomolecules, especially proteins. Given the molecular size limitations of NMR together with recent advances in cryo-electron microscopy and artificial intelligence-assisted protein structure prediction, the bright future of NMR in structural biology has been put into question. In this mini review we argue the contrary. We discuss the unique opportunities solution NMR offers to the protein chemist that distinguish it from all other experimental or computational methods, and how it can benefit from machine learning. • Future of solution protein NMR in the machine learning era of structural biology. • NMR spectroscopy provides unique insights into protein function that are not possible by other methods. • NMR spectroscopy as a versatile tool for understanding the complex dynamic nature of biomolecules. • Biomolecular NMR itself can benefit from the developments in the AI field. [ABSTRACT FROM AUTHOR]