46 citations · 89 across the 7 of their papers we have counts for
7 papers
Resolution enhancement of NMR by decoupling with low-rank Hankel model
Tianyu Qiu, Amir Jahangiri, Xiao Han +6
Nuclear magnetic resonance (NMR) spectroscopy has become a formidable tool for biochemistry and medicine. Although J-coupling carries essential structural information it may also l…
NMR spectrum reconstruction as a pattern recognition problem
Amir Jahangiri, Xiao Han, Dmitry Lesovoy +4
A new deep neural network based on the WaveNet architecture (WNN) is presented, which is designed to grasp specific patterns in the NMR spectra. When trained at a fixed non-uniform…
Unambiguous tracking of protein phosphorylation by fast, high-resolution FOSY NMR
Dmitry M. Lesovoy, Panagiota S. Georgoulia, Tammo Diercks +5
Phosphorylation is a prototypical example of post-translational modifications (PTMs) that dynamically modulate protein func-tion, where dysregulation is often implicated in disease…
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy
Zi Wang, Di Guo, Zhangren Tu +9
The non-uniform sampling is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partial sampled expone…
Resolution Enhancement in Protein NMR Spectra by Deconvolution with Compressed Sensing Reconstruction
Krzysztof Kazimierczuk, Paweł Kasprzak, Panagiota S. Georgoulia +6
Multidimensional NMR spectroscopy is one of the basic tools for determining the structure of biomolecules. Unfortunately, the resolution of the spectra is often limited by inter-nu…
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Dicheng Chen, Zi Wang, Di Guo +2
Since the concept of Deep Learning (DL) was formally proposed in 2006, it had a major impact on academic research and industry. Nowadays, DL provides an unprecedented way to analyz…
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu +5
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept…