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Biomarkers and Computational proteomics

Type of study Doctoral
Language of instruction Czech
Code 460-6029/01
Abbreviation VP
Course title Biomarkers and Computational proteomics
Credits 10
Coordinating department Department of Computer Science
Course coordinator prof. MUDr. Vít Procházka, Ph.D.

Subject syllabus

• biomarkers and their use in medicine
• validation and verification of biomarkers
• the use of proteomics and proteome analyzes in clinical applications
• identification and characterization of proteins (detection methods, de novo sequencing, significance testing, post-translational modifications, protein folding and degradation, protein complexes)
• qualitative and quantitative protein analysis, protein detection methods
• protein structure prediction, protein structure modeling
• clinically important proteins in health and disease
• selected chapters from clinical haemato-oncology and immunology, non-invasive biomarkers
• proteomic databases
• analysis and interpretation of data generated in proteomic experiments

Literature

• Barh D, Carpi A, Verma M, Gunduz M. Cancer Biomarkers: Minimal and Noninvasive Early Diagnosis and Prognosis. 1st Edition (2017) CRC Press
• Series Editors: Cohen IR, Lajtha A, Lambris JD, Pailetti R, Rezaei N. Advances in Experimental Medicine and Biology. Springer Nature International Publishing AG. ISSN: 0065-2598 
• Twyman, R. M. Principles of Proteomics, 2nd Edition (2013), Garland Science, New York
• Lovaric, J. Introducing Proteomics (2011), Wiley-Blackwell, Hoboken, New Jersey

Advised literature

• Goh W.W., Wong, L. Computational proteomics: designing a comprehensive analytical strategy. Drug Discov Today. 2014.