Thesis Details

Predikce vazebních míst proteinu p53

Master's Thesis Student: Radakovič Jozef Academic Year: 2014/2015 Supervisor: Martínek Tomáš, doc. Ing., Ph.D.
English title
Prediction of p53 Protein Binding Sites
Language
Czech
Abstract

Protein p53 which is encoded by gene TP53 plays crucial role in cell cycle as a regulator of transcription of genes in cases when cell is under stress. Therefore p53 acts like tumor suppressor. Understanding the pathway of p53 regulation as well as predicting its binding sites on p53 regulated genes is one of the major concerns of modern research in genetics and bioinformatics. In first part of this project we aim to introduce basics from molecular biology to better understand the p53 protein pathway in gene transcription and introduction to analysis of prediction of p53 binding sites. Second part is about implementation and testing of tool which would be able to predict transcription factor binding sites for protein p53.

Keywords

DNA, protein p53, transcription factors, Hidden Markov Models, HMM

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade E
Date
24 June 2015
Reviewer
Vogel Ivan, Ing.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Lucká Mária, prof. RNDr., Ph.D. (FIIT STU), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Citation
RADAKOVIČ, Jozef. Predikce vazebních míst proteinu p53. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Martínek Tomáš. Available from: https://www.fit.vut.cz/study/thesis/17962/
BibTeX 
@mastersthesis{FITMT17962,
    author = "Jozef Radakovi\v{c}",
    type = "Master's thesis",
    title = "Predikce vazebn\'{i}ch m\'{i}st proteinu p53",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17962/"
}

Theses

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