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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Autores principales:	Da-Wei Li, Alexandar L. Hansen, Chunhua Yuan, Lei Bruschweiler-Li, Rafael Brüschweiler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8b2f9505fa2d4e0fac6a7c33108a2d80
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spelling	oai:doaj.org-article:8b2f9505fa2d4e0fac6a7c33108a2d802021-12-02T19:09:54ZDEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra10.1038/s41467-021-25496-52041-1723https://doaj.org/article/8b2f9505fa2d4e0fac6a7c33108a2d802021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25496-5https://doaj.org/toc/2041-1723The 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.Da-Wei LiAlexandar L. HansenChunhua YuanLei Bruschweiler-LiRafael BrüschweilerNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Da-Wei Li Alexandar L. Hansen Chunhua Yuan Lei Bruschweiler-Li Rafael Brüschweiler DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
description	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.
format	article
author	Da-Wei Li Alexandar L. Hansen Chunhua Yuan Lei Bruschweiler-Li Rafael Brüschweiler
author_facet	Da-Wei Li Alexandar L. Hansen Chunhua Yuan Lei Bruschweiler-Li Rafael Brüschweiler
author_sort	Da-Wei Li
title	DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
title_short	DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
title_full	DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
title_fullStr	DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
title_full_unstemmed	DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra
title_sort	deep picker is a deep neural network for accurate deconvolution of complex two-dimensional nmr spectra
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8b2f9505fa2d4e0fac6a7c33108a2d80
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DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra

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