Nature Communications (Sep 2021)

DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra

  • Da-Wei Li,
  • Alexandar L. Hansen,
  • Chunhua Yuan,
  • Lei Bruschweiler-Li,
  • Rafael Brüschweiler

DOI
https://doi.org/10.1038/s41467-021-25496-5
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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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.