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Analysis of the Tools for Detecting Similarities between Tertiary Protein Structures
Trlica, Jiří ; Vogel, Ivan (referee) ; Bendl, Jaroslav (advisor)
Alignment of the three-dimensional structures of proteins is an essential task in bioinformatics. Because there are many tools offering this functionality, only a limited subset of them was chosen for comparison (DALI, LOCK 2, SPALIGN, MUSTANG and CLICK). These tools vary in the principle of calculation. Their performance was measured on three proteins, which represent main protein classes (all-α, all-β, α/β). These proteins were tested against a subset of PDB database containing 2 357 records. The results were visualized by ROC curves and the tools were compared by their area under ROC curve (AUC metric). According to this metric, the best results were obtained for SPALIGN.
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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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|
Analysis of the Tools for Detecting Similarities between Tertiary Protein Structures
Trlica, Jiří ; Vogel, Ivan (referee) ; Bendl, Jaroslav (advisor)
Alignment of the three-dimensional structures of proteins is an essential task in bioinformatics. Because there are many tools offering this functionality, only a limited subset of them was chosen for comparison (DALI, LOCK 2, SPALIGN, MUSTANG and CLICK). These tools vary in the principle of calculation. Their performance was measured on three proteins, which represent main protein classes (all-α, all-β, α/β). These proteins were tested against a subset of PDB database containing 2 357 records. The results were visualized by ROC curves and the tools were compared by their area under ROC curve (AUC metric). According to this metric, the best results were obtained for SPALIGN.
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