Cardiovascular Proteomics
Proteomics has arrived at a critical juncture in cardiovascular research. Analyses of cardiac and vascular illness at the organ, subcellular, and molecular levels have shown dynamic, complicated, and nuanced intracellular mechanisms. Proteomic analysis' power and flexibility, which make protein separation, identification, and characterisation easier, should speed up our understanding of these processes at the protein level. Proteomics, when used correctly, gives researchers with cellular protein "inventories" at precise points in time, making it excellent for recording protein alteration as a result of a specific disease, condition, or treatment. This is performed by creating species- and tissue-specific protein databases, which serve as a foundation for future proteomic research. The advancement of proteomic techniques has allowed for a more detailed analysis of the molecular pathways behind cardiovascular illness, allowing for the discovery of both changed proteins and the type of their modification. Continued development should lead to functional proteomic studies, in which the identification of protein modification, in combination with functional data from established biochemical and physiological methods, can help us better understand how the proteome changes in response to cardiovascular disease.
- Artificial Intelligence
- Computational anatomy
Related Conference of Cardiovascular Proteomics
7th International Conference on Applied Microbiology and Infectious Diseases
8th International Conference on Clinical Microbiology, Virology and Infectious Diseases
21st International Conference on Microbial Interactions & Microbial Ecology
12th International Congress on Trauma, Critical Care and Emergency Medicine
Cardiovascular Proteomics 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
- Structural Genomics
- System Biology
- Urine Metabolomics
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