[NMR paper] NMRNet: A deep learning approach to automated peak picking of protein NMR spectra.
NMRNet: A deep learning approach to automated peak picking of protein NMR spectra.
NMRNet: A deep learning approach to automated peak picking of protein NMR spectra.
Bioinformatics. 2018 Mar 14;:
Authors: Klukowski P, Augoff M, Zieba M, Drwal M, Gonczarek A, Walczak MJ
Abstract
Motivation: Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing peak picking methods are still largely deficient. Accurate and precise automated peak picking would...
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03-17-2018 12:12 PM
Students bring 'fresh insights' to scientific research on gene expression, deep neural networks and more - Clark University News Hub
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Students bring 'fresh insights' to scientific research on gene expression, deep neural networks and more
Clark University News Hub
... biochemistry and molecular biology senior Pinky Htun '17 of Myanmar spent June and July isolating, purifying and studying proteins using state-of-the-art lab equipment, including a high-speed centrifuge and a nuclear magnetic resonance spectrometer.
Students...
[NMR paper] Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
Related Articles Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
J Biomol NMR. 2013 Jun 2;
Authors: Shen Y, Bax A
Abstract
A new program, TALOS-N, is introduced for predicting protein backbone torsion angles from NMR chemical shifts. The program relies far more extensively on the use of trained artificial neural networks than its predecessor, TALOS+....
[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...
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08-22-2010 05:08 PM
[NMR paper] Application of neural networks to automated assignment of NMR spectra of proteins.
Application of neural networks to automated assignment of NMR spectra of proteins.
Related Articles Application of neural networks to automated assignment of NMR spectra of proteins.
J Biomol NMR. 1994 Jan;4(1):35-46
Authors: Hare BJ, Prestegard JH
Simulated neural networks are described which aid the assignment of protein NMR spectra. A network trained to recognize amino acid type from TOCSY data was trained on 148 assigned spin systems from E. coli acyl carrier proteins (ACPs) and tested on spin systems from spinach ACP, which has a 37%...
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[NMR paper] Application of neural networks to automated assignment of NMR spectra of proteins.
Application of neural networks to automated assignment of NMR spectra of proteins.
Related Articles Application of neural networks to automated assignment of NMR spectra of proteins.
J Biomol NMR. 1994 Jan;4(1):35-46
Authors: Hare BJ, Prestegard JH
Simulated neural networks are described which aid the assignment of protein NMR spectra. A network trained to recognize amino acid type from TOCSY data was trained on 148 assigned spin systems from E. coli acyl carrier proteins (ACPs) and tested on spin systems from spinach ACP, which has a 37%...
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[ASAP] The Protein Biochemistry of the Postsynaptic Density in Glutamatergic Synapses Mediates Learning in Neural Networks
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