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
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Acceso en línea:https://doaj.org/article/8b2f9505fa2d4e0fac6a7c33108a2d80
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