[NMR paper] FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies or are limited in scope to a narrow range of data that closely resemble the data that the network was trained on. These limitations have prevented a widescale uptake of DNNs in NMR. Addressing this, we introduce FID-Net, a deep neural...
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04-20-2021 12:46 PM
FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
Abstract
In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies or are limited in scope to a narrow range of data that closely resemble the data that the network was trained on. These limitations have prevented a widescale uptake of DNNs in NMR....
Packing of apolar side chains enables accurate design of highly stable membrane proteins - Science Magazine
Packing of apolar side chains enables accurate design of highly stable membrane proteins - Science Magazine
Packing of apolar side chains enables accurate design of highly stable membrane proteins Science MagazineAlthough nonpolar amino acid side chains pack efficiently in membrane proteins, it has been difficult to determine how much this contributes to membrane ...
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03-30-2019 05:11 AM
[NMR paper] Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N.
Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N.
Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N.
Methods Mol Biol. 2015;1260:17-32
Authors: Shen Y, Bax A
Abstract
Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trained to...
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12-17-2014 09:43 PM
[NMR paper] RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins
RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins.
Related Articles RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins.
J Biomol NMR. 1999 Sep;15(1):15-26
Authors: Pons JL, Delsuc MA
The assignment of the 1H spectrum of a protein or a polypeptide is the prerequisite for advanced NMR studies. We present here an assignment tool based on the artificial neural network technology, which determines the type of the amino acid from the chemical shift values observed in the 1H...
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11-18-2010 08:31 PM
[NMR paper] Using neural network predicted secondary structure information in automatic protein N
Using neural network predicted secondary structure information in automatic protein NMR assignment.
Related Articles Using neural network predicted secondary structure information in automatic protein NMR assignment.
J Chem Inf Comput Sci. 1997 Nov-Dec;37(6):1086-94
Authors: Choy WY, Sanctuary BC, Zhu G
In CAPRI, an automated NMR assignment software package that was developed in our laboratory, both chemical shift values and coupling topologies of spin patterns are used in a procedure for amino acids recognition. By using a knowledge base of...