DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
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...
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Main Authors: | Da-Wei Li, Alexandar L. Hansen, Chunhua Yuan, Lei Bruschweiler-Li, Rafael Brüschweiler |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/8b2f9505fa2d4e0fac6a7c33108a2d80 |
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