Leveraging deep learning for fully automated NMR protein structure determination. (arXiv:2201.12041v1 [q-bio.BM])

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the major techniques
in structural biology with over 11800 protein structures deposited in the
Protein Data Bank. NMR can elucidate structures and dynamics of small and
medium size proteins in solution, living cells, and solids, but has been
limited by the tedious data analysis process. It typically requires weeks or
months of manual work of trained expert to turn NMR measurements into a protein
structure. Automation of this process is an open …

arxiv bio deep learning learning protein structure