AIMC Topic: Tryptophan

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A tri-functional probe mediated exponential amplification strategy for highly sensitive detection of Dnmt1 and UDG activities at single-cell level.

Analytica chimica acta Dec 23, 2019
Multiplex DNA methylation and glycosylation are ubiquitous in the human body to ensure the normal function and stability of the genome. The methyltransferases and glycosylases rely on varied enzymes with different action mechanism, which still remain...
Tryptophan DNA (Cytosine-5-)-Methyltransferase 1 Uracil-DNA Glycosidase Single-Cell Analysis DNA Probes Enzyme Assays Nucleic Acid Amplification Techniques DNA, Single-Stranded Nucleic Acid Hybridization Limit of Detection Phthalimides Humans Cell Line, Tumor
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Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.

Photodiagnosis and photodynamic therapy Jul 9, 2019
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomi...
Humans Neural Networks, Computer Tryptophan Phenylalanine Serum Albumin Predictive Value of Tests Pakistan Bilirubin Sensitivity and Specificity Hepatitis B Spectrum Analysis, Raman
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Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Metabolic brain disease Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
Depression Adolescent Supervised Machine Learning Quality of Life Anxiety Case-Control Studies Schizophrenic Psychology Schizophrenia Tryptophan Neuropsychological Tests Female Aged Young Adult Adult Male Middle Aged Humans Biomarkers
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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Neuroimmunomodulation Cognitive Reserve Neurocognitive Disorders Humans Cytokines Female Adult Patient Acuity Schizophrenia Psychotic Disorders Psychiatric Status Rating Scales Tryptophan Inflammation Schizophrenic Psychology Male Unsupervised Machine Learning Behavioral Symptoms Middle Aged Quality of Life
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In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study.

Neurotoxicity research Jan 29, 2018
The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite (TRYCAT) patterning. The aim of this study is to delineate the associations between DAPS and psychos...
Multivariate Analysis Medically Unexplained Symptoms Machine Learning Adolescent Female Psychiatric Status Rating Scales Middle Aged Young Adult Tryptophan Aged Depression Thailand Adult Memory Disorders Humans Anxiety Male
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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 ...
Gonadotropin-Releasing Hormone Tryptophan Isoleucine Liver Neoplasms Carcinoma, Hepatocellular Leucine Humans Lysine Mitogen-Activated Protein Kinases COVID-19 Valine Tyrosine Deep Learning Phenylalanine Biological Factors
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