Urine Metabolomics
Urine metabolomics emerged in response to a specific disease or therapeutic intervention for the discovery of non-invasive biomarkers that can detect small metabolic abnormalities. Urine is distinguished from other biofluids by its ease of collection, abundance of metabolites, and capacity to reflect abnormalities in all metabolic pathways within the body. To quench any biogenic and/or non-biogenic chemical processes, urine samples for metabolomic analysis must be quickly refrigerated. Because of the constant advances in its linked technologies, liquid chromatography (LC)-MS is without a doubt the most analytical technique used in urine metabolomics. The Urine Metabolome database includes detailed information on 3100 small molecule metabolites discovered in human urine, as well as 3900 concentration values. The metabolite data columns have hyperlinks to other databases (KEGG, PubChem, ChEBI, Chemspider, DrugBank, PDB and Uniprot). Chemical, clinical, and molecular/biochemistry data are all used to create this information.
- Molecular graphics
- Monte Carlo method and Molecular design software
Related Conference of Urine Metabolomics
10th International Congress on Trauma, Critical Care and Emergency Medicine
19th International Conference on Virology, Emerging Diseases & vaccines
7th International Conference on Antimicrobial and Antibacterial Agents
7th International Conference on Clinical Microbiology, Virology and Infectious Diseases
Urine Metabolomics Conference Speakers
Recommended Sessions
- Bioinformatics
- Cancer Proteome and Biomarkers
- Cardiovascular Proteomics
- Computational Biology
- Epigenomics
- Gene Therapy
- Genomics
- Immunogenetics and Immunology
- Integrating Transcriptomics & Proteomics
- Machine learning in Bioinformatics
- Metabolic Syndrome
- Metabolomics in Precision Medicine
- Pharmacogenomics
- Protein Interactions in Biology
- Protein Sequencing
- Protein Structure
- Proteomics
- Proteomics and its Medicinal Research
- Proteomics in Biomedical Applications
- Quantitative Proteomics
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