Nature Communications (Sep 2021)
DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
Abstract
The analysis of NMR spectra of complex biochemical samples with respect to individual resonances is challenging but critically important. Here, the authors present a deep learning-based method that accelerates this process also for crowded NMR data that are non-trivial to analyze, even by expert NMR spectroscopists.