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Biomarkers and Computational proteomics

Summary

The course focuses on biomarkers, their validation and verification and their use in biomedicine. Students will be acquainted with methods and tools used in computational biology and proteomics (alignment of sequences and structures, protein structure prediction, protein folding, protein-protein interaction, protein design and modeling). Qualitative and quantitative methods of protein detection, their importance and use in biomedicine will be discussed and the impact of changes on selected diseases and complications discussed. The aim is to help students quickly cope with proteomics, their clinical use and interpretation of proteomic data, and be able to use computational tools to solve problems in their own research. Examples and practical examples of analyzes of relevant data sets and practical use of proteomics and proteome analyzes in biomedicine will be discussed.

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.


Language of instruction čeština, angličtina
Code 460-6029
Abbreviation VP
Course title Biomarkers and Computational proteomics
Coordinating department Department of Computer Science
Course coordinator prof. MUDr. Vít Procházka, Ph.D.