Noise peak filtering in multi-dimensional NMR spectra using convolutional neural networks.

Journal: Bioinformatics (Oxford, England)
Published Date: Dec 15, 2018

Abstract

MOTIVATION: Multi-dimensional NMR spectra are generally used for NMR signal assignment and structure analysis. There are several programs that can achieve highly automated NMR signal assignments and structure analysis. On the other hand, NMR spectra tend to have a large number of noise peaks even for data acquired with good sample and machine conditions, and it is still difficult to eliminate these noise peaks.

Authors

  • Naohiro Kobayashi
    Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Yoshikazu Hattori
    Faculty of Pharmaceutical Sciences, Tokushima Bunri University, Tokushima, Japan.
  • Takashi Nagata
  • Shoko Shinya
    Institute for Protein Research, Osaka University, Osaka, Japan.
  • Peter Güntert
    Institute of Biophysical Chemistry, Goethe-University, Frankfurt am Main, Germany.
  • Chojiro Kojima
    Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Toshimichi Fujiwara
    Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka, 565-0871, Japan. tfjwr@protein.osaka-u.ac.jp.

Keywords

External Resources

Popular Topics
Recent Journals