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Fourier transformation for exon prediction
Rusina, Michal ; Škutková, Helena (referee) ; Maděránková, Denisa (advisor)
In this bachelor thesis there are described the methods of the prediction of exon. The first part is aimed at the difference between the prokaryotic and eukaryotic organisms, the description of the DNA structure and the explanation of the terms exon and intron. The second section of the theoretic part includes four methods of the prediction of exons namely dynamic programming, neural networks, hidden Markov models and discrete Fourier transform. In the practical part there was created the program called Predikce_exonu that searches exons in nucleotide sequences and works on the principle of the Fourier transform. This algorithm together with 3 freely available programs was tested on 25 sequences and the success of their prediction was described by sensitivity and specificity.
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Ab initio prediction of the membrane protein structures
Sokol, Albert ; Fišer, Radovan (advisor) ; Plocek, Vítězslav (referee)
Knowledge of the three dimensional structure of the protein is extremely important for a full understanding of its function and molecular proteins interaction. The structure is typically determined experimentally by X-ray crystallography and NMR spectroscopy, unfortunately membrane proteins provide numerous problems for these methods. A possible solution is the computational prediction. Ab initio prediction of three-dimensional models of the membrane proteins is a complex process which cannot use any available protein structure as a general template. There are few softwares that deal with this process and selected four are described in detail in this work. These are two programs for the prediction of transmembrane helical proteins (Rosetta, EVfold_membrane) and two for the prediction of transmembrane beta barrels (EVfold_bb, 3D-SPOT). The main approaches that are used in the prediction of the three-dimensional structure of a protein are inserting short segments of amino acid sequences which are derived from the determined protein structures (Rosetta), using evolutionary information from many other protein sequences (EVfold) and formation of the beta barrel domains based on combining adjacent antiparallel beta chains (3D-SPOT). Every software uses a variety of external programs to address specific...
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Fourier transformation for exon prediction
Rusina, Michal ; Škutková, Helena (referee) ; Maděránková, Denisa (advisor)
In this bachelor thesis there are described the methods of the prediction of exon. The first part is aimed at the difference between the prokaryotic and eukaryotic organisms, the description of the DNA structure and the explanation of the terms exon and intron. The second section of the theoretic part includes four methods of the prediction of exons namely dynamic programming, neural networks, hidden Markov models and discrete Fourier transform. In the practical part there was created the program called Predikce_exonu that searches exons in nucleotide sequences and works on the principle of the Fourier transform. This algorithm together with 3 freely available programs was tested on 25 sequences and the success of their prediction was described by sensitivity and specificity.
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