Different experimental protocols for Nuclear Magnetic Resonance spectra provide different molecular insights, but performing is costly. Here the authors show how machine learning can predict CPMG, diffusion-edited, and pJRES spectra from NOESY data in serum samples, improving analytical efficiency.
- Alessia Vignoli
- Stefano Cacciatore
- Leonardo Tenori
