Rapid and precise estimation of glycosylated serum protein (GSP) of human serum is of great importance for the treatment and diagnosis of diabetes mellitus. In this study, we propose a novel method for estimation of GSP level based on the combination of deep learning and time domain nuclear magnetic resonance (TD-NMR) transverse relaxation signal of human serum. Specifically, a principal component analysis (PCA)-enhanced one-dimensional convolutional neural network (1D-CNN) is proposed to...
[NMR paper] Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA
Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA
Nuclear Magnetic Resonance (NMR) spectroscopy is a major technique in structural biology with over 11,800 protein structures deposited in the Protein Data Bank. NMR can elucidate structures and dynamics of small and medium size proteins in solution, living cells, and solids, but has been limited by the tedious data analysis process. It typically requires weeks or months of manual work of a trained expert to turn NMR measurements into a protein structure. Automation of this process is an...
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10-20-2022 06:37 PM
[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
[NMR paper] The influence of fatty acids on metoprolol - human serum albumin interaction in low affinity binding sites: a multifactorial NMR approach.
The influence of fatty acids on metoprolol - human serum albumin interaction in low affinity binding sites: a multifactorial NMR approach.
Related Articles The influence of fatty acids on metoprolol - human serum albumin interaction in low affinity binding sites: a multifactorial NMR approach.
Protein Pept Lett. 2018 Jan 15;:
Authors: Szkudlarek A, Mogielnicki M, Pentak D, Ploch A, Maciazek-Jurczyk M
Abstract
The aim of the study was to evaluate the mechanism of interaction between metoprolol (MTP) and human serum albumin (HSA)...
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01-18-2018 12:41 PM
[NMR paper] (1)H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation.
(1)H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation.
http://www.bionmr.com//www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--production.springer.de-OnlineResources-Logos-springerlink.gif Related Articles (1)H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation.
Inflamm Res. 2017 Jan;66(1):97-105
Authors: Sharma RK, Mishra K, Farooqui A, Behari A, Kapoor VK, Sinha N
Abstract
OBJECTIVE AND DESIGN: We present in this article (1)H nuclear magnetic...
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05-24-2017 07:40 PM
[NMR paper] An LC-MS/MS based candidate reference method for the quantification of total gentamicin in human serum and plasma using NMR characterized calibrator material.
An LC-MS/MS based candidate reference method for the quantification of total gentamicin in human serum and plasma using NMR characterized calibrator material.
Related Articles An LC-MS/MS based candidate reference method for the quantification of total gentamicin in human serum and plasma using NMR characterized calibrator material.
Clin Chim Acta. 2016 Nov 18;:
Authors: Lucha S, Taibon J, Pongratz S, Geletneky C, Huber E, Wintterle-Roehm C, Lang R, Grimm SH, Duelffer T, Tarasov K, Zander J, Vogeser M, Kobold U
Abstract
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11-23-2016 12:10 PM
[NMR paper] Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a (1)H-NMR based metabonomic approach.
Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a (1)H-NMR based metabonomic approach.
Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a (1)H-NMR based metabonomic approach.
Mol Biosyst. 2014 Jan 21;
Authors: Diao C, Zhao L, Guan M, Zheng Y, Chen M, Yang Y, Lin L, Chen W, Gao H
Abstract
Diabetes mellitus is a typical heterogeneous metabolic disorder characterized by abnormal...
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01-23-2014 03:58 PM
[NMR paper] 1H NMR-based metabonomic analysis of the serum and urine of rats following subchronic exposure to dichlorvos, deltamethrin, or a combination of these two pesticides.
1H NMR-based metabonomic analysis of the serum and urine of rats following subchronic exposure to dichlorvos, deltamethrin, or a combination of these two pesticides.
http://www.bionmr.com//www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--linkinghub.elsevier.com-ihub-images-PubMedLink.gif Related Articles 1H NMR-based metabonomic analysis of the serum and urine of rats following subchronic exposure to dichlorvos, deltamethrin, or a combination of these two pesticides.
Chem Biol Interact. 2013 May 25;203(3):588-96
Authors: Wang HP, Liang YJ, Sun YJ, Chen JX,...
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07-17-2013 12:00 PM
Comparison of serum metabolite compositions between obese and lean growing pigs using an NMR-based metabonomic approach.
Comparison of serum metabolite compositions between obese and lean growing pigs using an NMR-based metabonomic approach.
Comparison of serum metabolite compositions between obese and lean growing pigs using an NMR-based metabonomic approach.
J Nutr Biochem. 2011 Mar 21;
Authors: He Q, Ren P, Kong X, Wu Y, Wu G, Li P, Hao F, Tang H, Blachier F, Yin Y
Childhood obesity has become a prevalent risk to health of children and teenagers. To develop biomarkers in serum for altered lipid metabolism, genetically obese (Ningxiang strain) and lean...
Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology
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