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Non-covalent interactions of tryptophan in protein structure
Sokol, Albert ; Fišer, Radovan (advisor) ; Jurkiewicz, Piotr (referee)
A thorough knowledge of non-covalent amino acid interactions within a protein structure is essential for a complete understanding of its conformation, stability and function. Among all the amino acids that usually make up a protein, tryptophan is distinguished both by its rarity and size of its side chain formed by an indole group. It is able to provide various types of indispensable interactions within the protein and between different polypeptide chains, but also between the protein and a biological membrane. In addition, it is the most commonly used natural fluorophore. Databases of solved protein structures are commonly used to study amino acid interactions and allow more or less complex analyzes of the issue. Thus many non-covalent interactions that may occur between tryptophan and other amino acids have been found. However, most of these analyzes focus on specific interactions and do not follow up the tryptophan's environment as a whole, where all amino acids interact. Some newly developed methods have been used in this Thesis, specifically the occurrence profiles of the individual amino acids around the indole group of tryptophan and the results were compared with an available literature. The amino acid that has the greatest preference for tryptophan turned out to be tryptophan again, and...
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Non-covalent interactions of tryptophan in protein structure
Sokol, Albert ; Fišer, Radovan (advisor) ; Jurkiewicz, Piotr (referee)
A thorough knowledge of non-covalent amino acid interactions within a protein structure is essential for a complete understanding of its conformation, stability and function. Among all the amino acids that usually make up a protein, tryptophan is distinguished both by its rarity and size of its side chain formed by an indole group. It is able to provide various types of indispensable interactions within the protein and between different polypeptide chains, but also between the protein and a biological membrane. In addition, it is the most commonly used natural fluorophore. Databases of solved protein structures are commonly used to study amino acid interactions and allow more or less complex analyzes of the issue. Thus many non-covalent interactions that may occur between tryptophan and other amino acids have been found. However, most of these analyzes focus on specific interactions and do not follow up the tryptophan's environment as a whole, where all amino acids interact. Some newly developed methods have been used in this Thesis, specifically the occurrence profiles of the individual amino acids around the indole group of tryptophan and the results were compared with an available literature. The amino acid that has the greatest preference for tryptophan turned out to be tryptophan again, and...
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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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