AIMC Topic: Tyrosine

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Development of a surface plasmon resonance immunosensor and ELISA for 3-nitrotyrosine in human urine.

Talanta Dec 1, 2018
3-Nitrotyrosine (3-NT) is thought to be a relevant biomarker of nitrosative stress which is associated with many inflammatory and chronic diseases. It is necessary to develop confidential method for specific and sensitive 3-NT detection. In this pape...
Immunoassay Humans Antibodies Antigens Biosensing Techniques Tyrosine Surface Plasmon Resonance Cross Reactions Limit of Detection Ovalbumin
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GC-MS Metabolomics Identifies Metabolite Alterations That Precede Subclinical Mastitis in the Blood of Transition Dairy Cows.

Journal of proteome research Nov 28, 2016
The objectives of this study were to determine alterations in the serum metabolites related to amino acid (AA), carbohydrate, and lipid metabolism in transition dairy cows before diagnosis of subclinical mastitis (SCM), during, and after diagnosis of...
Tyrosine Serine Phenylalanine Metabolomics Mastitis, Bovine Principal Component Analysis Dairying Cell Count Female Animal Feed Milk Animals Biomarkers Lactation Early Diagnosis Cattle Gas Chromatography-Mass Spectrometry Prognosis Parturition Valine
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Using support vector machines to identify protein phosphorylation sites in viruses.

Journal of molecular graphics & modelling Dec 24, 2014
Phosphorylation of viral proteins plays important roles in enhancing replication and inhibition of normal host-cell functions. Given its importance in biology, a unique opportunity has arisen to identify viral protein phosphorylation sites. However, ...
Databases, Protein Phosphorylation Phosphoproteins Amino Acid Sequence Tyrosine Viral Proteins Threonine Support Vector Machine Serine Molecular Sequence Data Protein Structure, Tertiary
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DeepHisCoM: deep learning pathway analysis using hierarchical structural component models.

Briefings in bioinformatics Sep 20, 2022
Many statistical methods for pathway analysis have been used to identify pathways associated with the disease along with biological factors such as genes and proteins. However, most pathway analysis methods neglect the complex nonlinear relationship ...
Mitogen-Activated Protein Kinases Gonadotropin-Releasing Hormone Tryptophan Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Phenylalanine Lysine Tyrosine Humans Biological Factors COVID-19 Isoleucine Leucine Valine
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Prediction of Nitrated Tyrosine Residues in Protein Sequences by Extreme Learning Machine and Feature Selection Methods.

Combinatorial chemistry & high throughput screening Jan 1, 2018
BACKGROUND: Accurately recognizing nitrated tyrosine residues from protein sequences would pave a way for understanding the mechanism of nitration and the screening of the tyrosine residues in sequences.
Protein Processing, Post-Translational Machine Learning Computational Biology Databases, Protein Amino Acid Sequence Nitrates Tyrosine
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iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Molecular bioSystems Jul 25, 2017
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As a result, identifying an uncharacterized protein sequence as a phosphorylated protein is a very meaningful problem and an urgent issue for both basic ...
Humans Software Proteins Phosphorylation Internet Benchmarking Computational Biology Support Vector Machine Protein Processing, Post-Translational Threonine Datasets as Topic Tyrosine Serine
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Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma.

Oncotarget Jan 31, 2017
RATIONALE: Timely detection of pseudoprogression (PSP) is crucial for the management of patients with high-grade glioma (HGG) but remains difficult. Textural features of O-(2-[18F]fluoroethyl)-L-tyrosine positron emission tomography (FET-PET) mirror ...
Tyrosine Radiopharmaceuticals Disease-Free Survival Kaplan-Meier Estimate Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Positron Emission Tomography Computed Tomography Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Treatment Outcome Glioma Magnetic Resonance Imaging Disease Progression Pilot Projects Time Factors Female Reproducibility of Results Aged Male Middle Aged Adult Brain Neoplasms Humans Retrospective Studies
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